{"id":708199,"date":"2020-11-25T13:56:40","date_gmt":"2020-11-25T21:56:40","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=708199"},"modified":"2025-08-06T11:52:08","modified_gmt":"2025-08-06T18:52:08","slug":"neurips-2020","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2020\/","title":{"rendered":"Microsoft at NeurIPS 2020"},"content":{"rendered":"\n\n<p><strong>Website:<\/strong> <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/\" target=\"_blank\" rel=\"noopener noreferrer\">NeurIPS 2020<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>Microsoft is delighted to sponsor and attend the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/\" target=\"_blank\" rel=\"noopener\">34th Annual Conference on Neural Information Processing System (NeurIPS 2020)<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, the largest machine learning conference of the year. As a proud Platinum Sponsor of NeurIPS 2020, Microsoft will showcase state-of-the-art research with over 100 co-authored papers, as well as participation in a variety of workshops, tutorials and competitions. If you are attending NeurIPS 2020, we encourage you to stop by our virtual booth to chat with our experts, see demos of our latest research, and find out about career opportunities with Microsoft. In addition to our participation in the main conference, Microsoft is also proud to sponsor and participate in the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blackinai.github.io\/workshop\/2020\/cfp\/\" target=\"_blank\" rel=\"noopener\">Black in AI<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sites.google.com\/view\/queer-in-ai\/home\" target=\"_blank\" rel=\"noopener\">Queer in AI<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wimlworkshop.org\/sh_events\/wiml-workshop-2020\/\" target=\"_blank\" rel=\"noopener\">Women in Machine Learning<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> Workshops.<\/p>\n<div style=\"background-color: #d3d3d3;color: white;padding: 25px 20px 10px 30px\">\n<blockquote>\n<h3 style=\"color: #000000;text-align: center\">NeurIPS 2020 Invited talk<\/h3>\n<p style=\"text-align: center\"><span style=\"color: #000000\">Watch <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>&#8216;s Posner Lecture<\/span><br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/virtual\/2020\/public\/invited_16165.html\" target=\"_blank\" rel=\"noopener\"><strong>The Real AI Revolution<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<\/blockquote>\n<\/div>\n<div style=\"height: 40px\"><\/div>\n<h3>Virtual Fireside Chat with Professor Yoshua Bengio & Dr. Chris Bishop<\/h3>\n<div class=\"video-wrapper margin-bottom-sp1\"><iframe loading=\"lazy\" title=\"The opportunities with AI and machine learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/954inChlPxE?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<div style=\"height: 30px\"><\/div>\n<h3>Organizing Committee members<\/h3>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, Tutorial Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Demonstration and Competitions Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yalesong\/\">Yale Song<\/a>, Expo Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, Diversity and Inclusion Co-Chair<\/p>\n<h3>NeurIPS Foundation Board 2020<\/h3>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, Board Member<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<h2>Live chat with us<\/h2>\n<p>Join us in the Microsoft booth to chat with experts about our research and open opportunities with Microsoft. See below for our live chat and live demo schedules.<\/p>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Sunday, December 6<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">19:00\u201320:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Monday, December 7<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Edward Tiong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subho Mukherjee<\/a>, Senior Scientist<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data & Applied Scientist<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kevyan\/\">Kevin Yang<\/a>, Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research & Engineering<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data & Applied Scientist<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/praveenp.com\/\">Praveen Palanisamy<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Research & Engineering<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nJenna Hong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a>, Principal Research Manager<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Researcher<br \/>\nJason Eisner, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data & Applied Scientist<br \/>\nJames Budnik, HR Team\/Recruiter<br \/>\nJenna Hong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research & Engineering<br \/>\nDipendra Misra, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data & Applied Scientist<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre K\u0131c\u0131man<\/a>, Researcher<br \/>\nOssie Roycroft, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Hari Dubey, Scientist\/Engineer<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher<br \/>\nJenna Hong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">06:00\u201307:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cassandra Oduola, Responsible AI<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">09:00\u201310:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Women at Microsoft<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/andrea-trevino-gavito\/\" target=\"_blank\" rel=\"noopener\">Andrea Trevino Gavito<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Microsoft AI Development<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/anusua\/\" target=\"_blank\" rel=\"noopener\">Anusua Trivedi<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, AI for Good<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/arushijain1711\/\" target=\"_blank\" rel=\"noopener\">Arushi Jain<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Microsoft AI Development<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a>, Responsible AI, Human AI-Collaboration<br \/>\nCassandra Oduola, Responsible AI<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\">Evelyne Viegas<\/a>, Research Engagement Outreach Programs (e.g., collaborative projects, fellowships)<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, CAST (Cloud AI System Technology in Azure)<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jennahong97\/\" target=\"_blank\" rel=\"noopener\">Jenna Hong<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Microsoft AI Development<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Game Intelligence<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/lingling-zheng-a601698\/\" target=\"_blank\" rel=\"noopener\">Lingling Zheng<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, AI Ops\/Cloud Intelligence<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slbird\/\">Sarah Bird<\/a>, Responsible AI Lead, Azure Cognitive Services<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shbannur\/\">Shruthi Bannur<\/a>, Health Intelligence<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data & Applied Scientist<br \/>\nJenna Hong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research & Engineering<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nDipendra Misra, Researcher<br \/>\nJenna Hong, Data & Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data & Applied Scientist<br \/>\nOssie Roycroft, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Urszula Chajewska, Data & Applied Scientist<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<h2>Live Demo schedule<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">17:00\u201318:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-22\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-22\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-21\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tMonday, December 7\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-21\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-22\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Monday, December 7<\/h2>\n<p style=\"margin-bottom: 0px\">18:15\u201318:30 PT | Oral: COVID\/Health\/Bio Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:00\u201319:10 PT | Spotlight: Representation\/Relational<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Baekjin Kim, Ambuj Tewari<\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 0<\/p>\n<p style=\"margin-bottom: 0px\"><b>Adversarial Attacks on Deep Graph Matching<\/b><\/p>\n<p>Zijie Zhang, Zeru Zhang, Yang Zhou, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yelong-shen-84b0122b\/\" target=\"_blank\" rel=\"noopener\">Yelong Shen<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Ruoming Jin, Dejing Dou<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/constrained-episodic-reinforcement-learning-in-concave-convex-and-knapsack-settings\/\"><b>Constrained episodic reinforcement learning in concave-convex and knapsack settings<\/b><\/a><\/p>\n<p>Kiant\u00e9 Brantley, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mdudik\/\">Miro Dudik<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/thlykour\/\">Thodoris Lykouris<\/a>, Sobhan Miryoosefi, Max Simchowitz, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a>, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hierarchical-poset-decoding-for-compositional-generalization-in-language\/\"><b>Hierarchical Poset Decoding for Compositional Generalization in Language<\/b><\/a><\/p>\n<p>Yinuo Guo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/information-theoretic-regret-bounds-for-online-nonlinear-control\/\"><b>Information Theoretic Regret Bounds for Online Nonlinear Control<\/b><\/a><\/p>\n<p>Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Kendall Lowrey, Motoya Ohnishi, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-dynamic-knowledge-graphs-to-generalize-on-text-based-games\/\"><b>Learning Dynamic Belief Graphs to Generalize on Text-Based Games<\/b><\/a><\/p>\n<p>Ashutosh Adhikari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Mikul\u00e1\u0161 Zelinka, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/marondea\/\">Marc-Antoine Rondeau<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rolaroch\/\">Romain Laroche<\/a>, Pascal Poupart, Jian Tang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Will Hamilton<\/p>\n<p style=\"margin-bottom: 0px\"><b>MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/wenhui-wang-064411121\/\" target=\"_blank\" rel=\"noopener\">Wenhui Wang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lidong1\/\">Li Dong<\/a>, Hangbo Bao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nanya\/\">Nan Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mingzhou\/\">Ming Zhou<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/morel-model-based-offline-reinforcement-learning\/\"><b>MOReL: Model-Based Offline Reinforcement Learning<\/b><\/a><\/p>\n<p>Rahul Kidambi, Aravind Rajeswaran, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Thorsten Joachims<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mpnet-masked-and-permuted-pre-training-for-language-understanding\/\"><b>MPNet: Masked and Permuted Pre-training for Language Understanding<\/b><\/a><\/p>\n<p>Kaitao Song, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Jianfeng Lu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\n<p><em>Oral Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Baekjin Kim, Ambuj Tewari<\/p>\n<p><em>Spotlight Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Parametric Instance Classification for Unsupervised Visual Feature learning<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Zhenda Xie, Bin Liu, Yutong Lin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-good-batch-reinforcement-learning-without-great-exploration\/\"><b>Provably Good Batch Reinforcement Learning Without Great Exploration<\/b><\/a><\/p>\n<p>Yao Liu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adswamin\/\">Adith Swaminathan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Emma Brunskill<\/p>\n<p style=\"margin-bottom: 0px\"><b>Restoring Negative Information in Few-Shot Object Detection<\/b><\/p>\n<p>Yukuan Yang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Miaojing Shi, Guoqi Li<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Spotlight Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sampling-decomposable-generative-adversarial-recommender\/\"><b>Sampling-Decomposable Generative Adversarial Recommender<\/b><\/a><\/p>\n<p>Binbin Jin, Defu Lian, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhengliu\/\">Zheng Liu<\/a>, Qi Liu, Jianhui Ma, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\">Xing Xie<\/a>, Enhong Chen<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/understanding-global-feature-contributions-with-additive-importance-measures\/\"><b>Understanding Global Feature Contributions With Additive Importance Measures<\/b><\/a><\/p>\n<p>Ian Covert, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sclundbe\/\">Scott Lundberg<\/a>, Su-In Lee <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-24\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-24\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-23\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tTuesday, December 8\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-23\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-24\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Tuesday, December 8<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">06:30\u201306:45 PT | Oral: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: Social\/Privacy<\/p>\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:40\u201308:00 PT | Demonstration<\/p>\n<p style=\"margin-bottom: 0px\"><b>MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval<\/b><\/p>\n<p>Mark Hamilton, Lei Zhang, Bill Freeman, Marina Rogers, Darius Bopp, Johnny Bui, Margaret Wang, Mindren Lu, Zhenbang Chen, Christopher Hoder<\/p>\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Chi Jin, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 1<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/coinpress-practical-private-mean-and-covariance-estimation\/\"><b>CoinPress: Practical Private Mean and Covariance Estimation<\/b><\/a><\/p>\n<p>Sourav Biswas, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Gautam Kamath, Jonathan Ullman<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cross-validation-confidence-intervals-for-test-error\/\"><b>Cross-validation Confidence Intervals for Test Error<\/b><\/a><\/p>\n<p>Pierre Bayle, Alexandre Bayle, Lucas Janson, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deep-reinforcement-and-infomax-learning\/\"><b>Deep Reinforcement and InfoMax Learning<\/b><\/a><\/p>\n<p>Bogdan Mazoure, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Thang Long DOAN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/phbachma\/\">Philip Bachman<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/devonh\/\">R Devon Hjelm<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/denoised-smoothing-a-provable-defense-for-pretrained-classifiers\/\"><b>Denoised Smoothing: A Provable Defense for Pretrained Classifiers<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Mingjie Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, J. Zico Kolter<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-contextual-bandits-with-continuous-actions\/\"><b>Efficient Contextual Bandits with Continuous Actions<\/b><\/a><\/p>\n<p>Maryam Majzoubi, Chicheng Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ranaras\/\">Rajan Chari<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fairness-in-streaming-submodular-maximization-algorithms-and-hardness\/\"><b>Fairness in Streaming Submodular Maximization: Algorithms and Hardness<\/b><\/a><\/p>\n<p>Marwa El Halabi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, Jakab Tardos, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\n<p><em>Oral Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Structured Distributions From Untrusted Batches: Faster and Simpler<\/b><\/p>\n<p>Sitan Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Ankur Moitra<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-the-linear-quadratic-regulator-from-nonlinear-observations\/\"><b>Learning the Linear Quadratic Regulator from Nonlinear Observations<\/b><\/a><\/p>\n<p>Zakaria Mhammedi, Dylan Foster, Max Simchowitz, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dimisra\/\">Dipendra Misra<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Alexander Rakhlin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Network size and size of the weights in memorization with two-layers neural networks<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sebubeck\/\">Sebastien Bubeck<\/a>, Ronen Eldan, Yin Tat Lee, Dan Mikulincer<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-infinite-width-hypernetworks\/\"><b>On Infinite-Width Hypernetworks<\/b><\/a><\/p>\n<p>Etai Littwin, Tomer Galanti, Lior Wolf, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning\/\"><b>PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mikael-henaff-628a9021\/\" target=\"_blank\" rel=\"noopener\">Mikael Henaff<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-adaptive-reinforcement-learning-in-metric-spaces\/\"><b>Provably adaptive reinforcement learning in metric spaces<\/b><\/a><\/p>\n<p>Tongyi Cao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pushing-the-limits-of-narrow-precision-inferencing-at-cloud-scale-with-microsoft-floating-point\/\"><b>Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/birouhan\/\">Bita Darvish Rouhani<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlo\/\">Daniel Lo<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/ritchie-zhao-47831a79\/\" target=\"_blank\" rel=\"noopener\">Ritchie Zhao<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mliu\/\">Ming Liu<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfowers\/\">Jeremy Fowers<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kaovt\/\">Kalin Ovtcharov<\/a>, Anna Vinogradsky, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/sarah-garrod-massengill-76262728\/\" target=\"_blank\" rel=\"noopener\">Sarah Massengill<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yanglita\/\" target=\"_blank\" rel=\"noopener\">Lita Yang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raybit\/\">Ray Bittner<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sandrof\/\">Alessandro Forin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haishan-zhu\/\">Haishan Zhu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/taesik-na\/\" target=\"_blank\" rel=\"noopener\">Taesik Na<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prepatel\/\">Prerak Patel<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/shuai-che-797a088\/\" target=\"_blank\" rel=\"noopener\">Shuai Che<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/lokchand\/\" target=\"_blank\" rel=\"noopener\">Lok Chand Koppaka<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stever\/\">Steve Reinhardt<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slanka\/\">Sitaram Lanka<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaso\/\">Xia Song<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/subhojitsom\/\" target=\"_blank\" rel=\"noopener\">Subhojit Som<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/kaustav-das-3563abb\/\" target=\"_blank\" rel=\"noopener\">Kaustav Das<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/saurabh-tiwary\/\" target=\"_blank\" rel=\"noopener\">Saurabh K T<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/erchung\/\">Eric Chung<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dburger\/\">Doug Burger<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>RepPoints v2: Verification Meets Regression for Object Detection<\/b><\/p>\n<p>Yihong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Liwei Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stevelin\/\">Stephen Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization<\/b><\/p>\n<p>Sam Hopkins, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Fred Zhang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Chi Jin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-loca-regret-a-consistent-metric-to-evaluate-model-based-behavior-in-reinforcement-learning\/\"><b>The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm Van Seijen<\/a>, Hadi Nekoei, Evan Racah, Sarath Chandar<\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:30\u201319:40 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:50\u201320:00 PT | Spotlight: Deep Learning\/Theory<\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:50\u201320:00 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 2<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\n<p><em>Oral Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>GreedyFool: Distortion-Aware Sparse Adversarial Attack<\/b><\/p>\n<p>Xiaoyi Dong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianbao\/\">Jianmin Bao<\/a>, Chuan Qin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/luyuan\/\">Lu Yuan<\/a>, Weiming Zhang, Nenghai Yu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/doch\/\">Dong Chen<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rd2-reward-decompositionwith-representation-disentanglement\/\"><b>RD2: Reward Decomposition with Representation Disentanglement<\/b><\/a><\/p>\n<p>Zichuan Lin, Derek Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lizo\/\">Li Zhao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Guangwen Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Guanghao Ye<\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Towards Interpretable Natural Language Understanding with Explanations as Latent Variables<\/b><\/p>\n<p>Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cxiong\/\">Chenyan Xiong<\/a>, Jian Tang <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-26\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-26\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-25\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tWednesday, December 9\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-25\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-26\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Wednesday, December 9<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">06:15\u201306:30 PT | Oral: COVID\/Applications\/Composition<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: COVID\/Applications\/Composition<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Continual\/Meta\/Misc Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:50\u201308:00 PT | Spotlight: Deep Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy\/\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">08:10\u201308:20 PT | Spotlight: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 3<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-causal-view-on-robustness-of-neural-networks\/\"><b>A Causal View on Robustness of Neural Networks<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ave-assistance-via-empowerment\/\"><b>AvE: Assistance via Empowerment<\/b><\/a><\/p>\n<p>Yuqing Du, Stas Tiomkin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre Kiciman<\/a>, Daniel Polani, Pieter Abbeel, Anca Dragan<\/p>\n<p style=\"margin-bottom: 0px\"><b>BERT Loses Patience: Fast and Robust Inference with Early Exit<\/b><\/p>\n<p>Wangchunshu Zhou, Canwen Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tage\/\">Tao Ge<\/a>, Julian McAuley, Ke Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/domain-adaptation-with-conditional-distribution-matching-and-generalized-label-shift\/\"><b>Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Han Zhao, Yu-Xiang Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ggordon\/\">Geoffrey Gordon<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-algorithms-for-device-placement-of-dnn-graph-operators\/\"><b>Efficient Algorithms for Device Placement of DNN Graph Operators<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/amar\/\">Amar Phanishayee<\/a>, Nikhil Devanur, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mahajandivya\/\" target=\"_blank\" rel=\"noopener\">Divya Mahajan<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games<\/b><\/p>\n<p>Arun Suggala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/geometric-dataset-distances-via-optimal-transport\/\"><b>Geometric Dataset Distances via Optimal Transport<\/b><\/a><\/p>\n<p>David Alvarez Melis, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>How do fair decisions fare in long-term qualification?<\/b><\/p>\n<p>Xueru Zhang, Ruibo Tu, Yang Liu, mingyan liu, Hedvig Kjellstrom, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\n<p><em>Oral Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler<\/b><\/p>\n<p>Zhining Liu, Pengfei Wei, Jing Jiang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/weicao1990.github.io\/\" target=\"_blank\" rel=\"noopener\">Wei Cao<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jibian\/\">Jiang Bian<\/a>, Yi Chang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/minimax-estimation-of-conditional-moment-models\/\"><b>Minimax Estimation of Conditional Moment Models<\/b><\/a><\/p>\n<p>Nishanth Dikkala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/glewis\/\">Greg Lewis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vasy\/\">Vasilis Syrgkanis<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-loss-landscape-of-adversarial-training-identifying-challenges-and-how-to-overcome-them\/\"><b>On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them<\/b><\/a><\/p>\n<p>Chen Liu, Mathieu Salzmann, Tao LIN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ryoto\/\">Ryota Tomioka<\/a>, Sabine S\u00fcsstrunk<\/p>\n<p style=\"margin-bottom: 0px\"><b>Statistical Optimal Transport posed as Learning Kernel Embedding<\/b><\/p>\n<p>Saketha Nath Jagarlapudi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/pratikjawanpuria.com\/\" target=\"_blank\" rel=\"noopener\">Pratik Kumar Jawanpuria<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>The Pitfalls of Simplicity Bias in Neural Networks<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/harshay.me\/\" target=\"_blank\" rel=\"noopener\">Harshay Shah<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Kaustav Tamuly, Aditi Raghunathan, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Zero-Resource Knowledge-Grounded Dialogue Generation<\/b><\/p>\n<p>Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao<\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">19:10\u201319:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Yunhai Tong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:10\u201320:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 4<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-matrix-chernoff-bound-for-markov-chains-and-its-application-to-co-occurrence-matrices\/\"><b>A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices<\/b><\/a><\/p>\n<p>Jiezhong Qiu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Ben Liao, Richard Peng, Jie Tang<\/p>\n<p style=\"margin-bottom: 0px\"><b>Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/govinda-kamath\" target=\"_blank\" rel=\"noopener\">Govinda Kamath<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Tavor Baharav, Ilan Shomorony<\/p>\n<p style=\"margin-bottom: 0px\"><b>GAN Memory with No Forgetting<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chunyl\/\">Chunyuan Li<\/a>, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/online-influence-maximization-under-linear-threshold-model\/\"><b>Online Influence Maximization under Linear Threshold Model<\/b><\/a><\/p>\n<p>Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, <b>Wei Chen<\/b><\/p>\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Yunhai Tong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em> <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-28\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-28\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-27\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tThursday, December 10\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-27\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-28\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Thursday, December 10<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">07:10\u201307:20 PT | Spotlight: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Graph\/Relational\/Theory<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 5<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\n<p><em>Spotlight Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/copt-coordinated-optimal-transport-on-graphs\/\"><b>COPT: Coordinated Optimal Transport on Graphs<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Will Sawin<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/empirical-likelihood-for-contextual-bandits\/\"><b>Empirical Likelihood for Contextual Bandits<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nikosk\/\">Nikos Karampatziakis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-regularization-and-convergence-for-weight-normalization\/\"><b>Implicit Regularization and Convergence for Weight Normalization<\/b><\/a><\/p>\n<p>Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Rachel Ward, Qiang Liu<\/p>\n<p style=\"margin-bottom: 0px\"><b>On the Expressiveness of Approximate Inference in Bayesian Neural Networks<\/b><\/p>\n<p>Andrew Foong, David Burt, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, Richard E Turner<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-warm-starting-neural-network-training\/\"><b>On Warm-Starting Neural Network Training<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Ryan Adams<\/p>\n<p style=\"margin-bottom: 0px\"><b>VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data<\/b><\/p>\n<p>Chao Ma, Sebastian Tschiatschek, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 6<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping\/\"><b>Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuxhe\/\">Yuxiong He<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/adatune-adaptive-tensor-program-compilation-made-efficient\/\"><b>AdaTune: Adaptive Tensor Program Compilation Made Efficient<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/%E6%A2%A6%E5%A5%BD-%E6%9D%8E-194a701b8\/\" target=\"_blank\" rel=\"noopener\">Menghao Li<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mingqin-%E6%9D%8E%E6%98%8E%E7%90%B4-b017b41a\/\" target=\"_blank\" rel=\"noopener\">Mingqin Li<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hopeng\/\">Houwen Peng<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/hao-du-a1847595\/\" target=\"_blank\" rel=\"noopener\">Hao Du<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Hongyuan Yu, QI LI, Jing Liao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\">Jianlong Fu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disentangling-human-error-from-the-ground-truth-in-segmentation-of-medical-images\/\"><b>Disentangling Human Error from Ground Truth in Segmentation of Medical Images<\/b><\/a><\/p>\n<p>Le Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rytanno\/\">Ryutaro Tanno<\/a>, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\n<p><em>Oral Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Graph Policy Network for Transferable Active Learning on Graphs<\/b><\/p>\n<p>Shengding Hu, Zheng Xiong, Meng Qu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Zhiyuan Liu, Jian Tang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hm-ann-efficient-billion-point-nearest-neighbor-search-on-heterogeneous-memory\/\"><b>HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory<\/b><\/a><\/p>\n<p>Jie Ren, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, Dong Li<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/impatientcapsandruns-approximately-optimal-algorithm-configuration-from-an-infinite-pool\/\"><b>ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool<\/b><\/a><\/p>\n<p>Gellert Weisz, Andr\u00e1s Gy\u00f6rgy, Wei-I Lin, Devon Graham, Kevin Leyton-Brown, Csaba Szepesvari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/brlucier\/\">Brendan Lucier<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/intra-order-preserving-functions-for-calibration-of-multi-class-neural-networks\/\"><b>Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks<\/b><\/a><\/p>\n<p>Amir Rahimi, Amirreza Shaban, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, Richard I Hartley, Byron Boots<\/p>\n<p style=\"margin-bottom: 0px\"><b>Passport-aware Normalization for Deep Model Protection<\/b><\/p>\n<p>Jie Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\n<p><em>Spotlight Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/semi-supervised-neural-architecture-search\/\"><b>Semi-Supervised Neural Architecture Search<\/b><\/a><\/p>\n<p>Renqian Luo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/wangruicmu\/\" target=\"_blank\" rel=\"noopener\">Rui Wang<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Enhong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/stochastic-stein-discrepancies\/\"><b>Stochastic Stein Discrepancies<\/b><\/a><\/p>\n<p>Jackson Gorham, Anant Raj, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a> <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<h2>Sunday, December 6<\/h2>\n<p>10:00 PT | Workshop<br \/>\n<strong>Real World RL with Vowpal Wabbit: Beyond Contextual Bandits<\/strong><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jaalber\/\">Jacob Alber<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raaboulh\/\">Rafah Hosn<\/a><\/p>\n<p>14:00 PT | Talk<br \/>\n<strong>The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems<\/strong><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a><\/p>\n<hr \/>\n<h2>Monday, December 7<\/h2>\n<p>06:00 \u2013 12:30 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blackinai2020.vercel.app\/\" target=\"_blank\" rel=\"noopener\"><strong>Black in AI<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a><\/p>\n<p>08:00\u201310:30 PT | Tutorial<br \/>\n<b>Advances in Approximate Inference<\/b><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<hr \/>\n<h2>Tuesday, December 8<\/h2>\n<p>12:00\u201316:00 PT | Symposium<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 1<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie<\/p>\n<hr \/>\n<h2>Wednesday, December 9<\/h2>\n<p>01:40 \u2013 18:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wimlworkshop.org\/neurips2020\/\" target=\"_blank\" rel=\"noopener\"><strong>Women in Machine Learning<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nDiversity & Inclusion Co-chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a><br \/>\nArea Chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a><br \/>\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/epierson\/\">Emma Pierson<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kate\/\">Kate Crawford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sdumais\/\">Susan Dumais<\/a><\/p>\n<p>12:00\u201316:00 PT | Symposium<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 2<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie<\/p>\n<hr \/>\n<h2>Friday, December 11<\/h2>\n<p>06:50\u201316:50 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.cmu.edu\/dietrich\/causality\/neurips20ws\/\" target=\"_blank\" rel=\"noopener\"><b>Causal Discovery and Causality-Inspired Machine Learning<\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nBiwei\u00a0Huang,\u00a0Sara\u00a0Magliacane,\u00a0Kun\u00a0Zhang,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Elias\u00a0Bareinboim,\u00a0Daniel Malinsky,\u00a0Thomas Richardson,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/meek\/\">Christopher Meek<\/a>,\u00a0Peter\u00a0Spirtes,\u00a0Bernhard\u00a0Sch\u00f6lkopf<\/p>\n<p>06:00\u201316:20 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ml4health.github.io\/2020\/\" target=\"_blank\" rel=\"noopener\"><b>Machine Learning for Health: Advancing Healthcare for All<\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>,\u00a0Emily\u00a0Alsentzer,\u00a0Andrew Beam,\u00a0Brett Beaulieu-Jones,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Allen Schmaltz,\u00a0Irene Y Chen,\u00a0Anna Goldenberg,\u00a0Matthew McDermott,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>,\u00a0Charles\u00a0Onu<\/p>\n<p>08:30\u201321:00 PT | Workshop<br \/>\n<b><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ml-retrospectives.github.io\/neurips2020\/\" target=\"_blank\" rel=\"noopener\">ML Retrospectives, Surveys & meta-Analyses<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0<\/b><br \/>\nChhavi\u00a0Yadav,\u00a0Prabhu Pradhan,\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/abhishekgupta19\/\" target=\"_blank\" rel=\"noopener\">Abhishek Gupta<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>,\u00a0Ryan Lowe,\u00a0Peter Henderson,\u00a0Jessica Forde Jessica Forde,\u00a0Mayoore\u00a0Jaiswal,\u00a0Jesse Dodge<\/p>\n<hr \/>\n<h2>Saturday, December 12<\/h2>\n<p><strong>Machine Learning For Systems<\/strong> | Workshop<br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/resonance-replacing-software-constants-with-context-aware-models-in-real-time-communication\/\">Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication<\/a><br \/>\n<strong>Jayant Gupchup<\/strong>, <strong>Ashkan Aazami<\/strong>, <strong>Yaran Fan<\/strong>, <strong>Senja Filipi<\/strong>, <strong>Tom Finley<\/strong>, <strong>Scott Inglis<\/strong>, <strong>Marcus Asteborg<\/strong>, <strong>Luke Caroll<\/strong>, <strong>Rajan Chari<\/strong>, <strong>Markus Cozowicz<\/strong>, <strong>Vishak Gopal<\/strong>, <strong>Vinod Prakash<\/strong>, <strong>Sasikanth Bendapudi<\/strong>, <strong>Jack Gerrits<\/strong>, <strong>Eric Lau<\/strong>, <strong>Huazhou Liu<\/strong>, <strong>Marco Rossi<\/strong>, <strong>Dima Slobodianyk<\/strong>, <strong>Dmitri Birjukov<\/strong>, <strong>Matty Cooper<\/strong>, <strong>Nilesh Javar<\/strong>, <strong>Dmitriy Perednya<\/strong>, <strong>Sriram Srinivasan<\/strong>, <strong>John Langford<\/strong>, <strong>Ross Cutler<\/strong>, <strong>Johannes Gehrke<\/strong><\/p>\n<p>04:45\u201314:45 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/i-cant-believe-its-not-better.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>I Can\u2019t Believe it is Not Better: Bridging the Gap between Theory and Empiricism in Probabilistic Machine Learning<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nJessica Zosa Forde, Francisco Ruiz, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/melaniefp.github.io\/\" target=\"_blank\" rel=\"noopener\">Melanie F. Pradier<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, Aaron Schein, Finale Doshi-Velez, David Blei, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a><\/p>\n<p>05:20\u201312:55 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.cooperativeai.com\/\" target=\"_blank\" rel=\"noopener\"><b>Cooperative AI<\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nThore\u00a0Graepel,\u00a0Dario\u00a0Amodei,\u00a0Vincent\u00a0Conitzer,\u00a0Allan Dafoe,\u00a0Gillian Hadfield,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\">Eric Horvitz<\/a>,\u00a0Sarit Kraus,\u00a0Kate Larson,\u00a0Yoram Bachrach<\/p>\n<p>05:30\u201315:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/nbiair.com\/\" target=\"_blank\" rel=\"noopener\"><b>Navigating the Broader Impacts of AI Research<\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/overcoming-failures-of-imagination-in-ai-infused-system-development-and-deployment\/\">Overcoming Failures of Imagination in AI Infused System Development and Deployment<\/a><br \/>\nCarolyn Ashurst,\u00a0Rosie Campbell,\u00a0Deborah Raji,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/solon\/\">Solon Barocas<\/a>,\u00a0Stuart Russell<\/p>\n<p>06:00\u201315:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wordplay-workshop.github.io\/\" target=\"_blank\" rel=\"noopener\"><b>Wordplay: When Language Meets Games<\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nPrithviraj\u00a0Ammanabrolu,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mahauskn\/\">Matthew Hausknecht<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi\u00a0Yuan<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre\u00a0C\u00f4t\u00e9<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Kory Mathewson, John\u00a0Urbanek,\u00a0Jason Weston,\u00a0Mark\u00a0Riedl<\/p>\n<p>08:50\u201318:40 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sslneuips20.github.io\/pages\/Accepted%20Paper.html\" target=\"_blank\" rel=\"noopener\"><strong>Self-Supervised Learning \u2013 Theory and Practice<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/make-lead-bias-in-your-favor-zero-shot-abstractive-news-summarization\/\">Make Lead Bias in Your Favor: Zero-shot Abstractive News Summarization<\/a><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezhu\/\">Chenguang Zhu<\/a>, Ziyi Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rogmyr\/\">Robert Gmyr<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nzeng\/\">Michael Zeng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xdh\/\">Xuedong Huang<\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<h2>Competitions<\/h2>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/diagnostic-questions\/\"><b>Diagnostic Questions: Predicting Student Responses and Measuring Question Quality<\/b><\/a><br \/>\nSimon Woodhead, Craig Barton, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Richard Turner, Jack Wang, Richard G. Baraniuk, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-anlam\/\">Angus Lamb<\/a>,\u00a0Evgeny\u00a0Saveliev,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pacamero\/\">Pashmina Cameron<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yordanz\/\">Yordan Zaykov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/simonpj\/\">Simon Peyton-Jones<\/a>,\u00a0<a href=\"mailto:%20edu_competition@outlook.com\">Cheng Zhang<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/efficientqa.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>Efficient Open-Domain Question Answering<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\n<strong>Hao Cheng<\/strong>, <strong>Yelong Shen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaodl\/\">Xiaodong Liu<\/a>, <strong>Pengcheng He<\/strong>, <strong>Weizhu Chen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\">Jianfeng Gao<\/a><br \/>\n<em>*First place in the Efficient Open-Domain Question Answering unrestrictive track<\/em><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.vanderschaar-lab.com\/privacy-challenge\/\" target=\"_blank\" rel=\"noopener\"><b>Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification with Clinical Time-series Data<\/b> <span class=\"sr-only\"> (opens in new tab)<\/span><\/a><br \/>\nJames Jordon, Daniel Jarrett, Jinsung Yoon, Paul Elbers, Patrick Thoral, Ari Ercole, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Mihaela van der Schaar, Nick Maxfield<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>Discover more about work accepted at NeurIPS 2020 in these webinars presented by Microsoft Research. Join these experts as they present their research in practical tutorials and answer questions afterwards in a live Q&A. All presentations and live Q&A sessions are recorded and will be available on demand.<\/p>\n<p>To learn more about the webinars and for registration, click \u201cregister\u201d below. See our full list of offerings at the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/webinar\/\">Microsoft Research Webinars<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> homepage.<\/p>\n<div style=\"height: 20px\"><\/div>\n<p>\t\t\t<div class=\"ms-grid \">\n\t\t\t<div class=\"ms-row\">\n\t\t\t\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-705745 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Amit Sharma and Emre Kiciman headshot appears next to their webinar title, causal inference\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-16x9.jpg 16w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Foundations of causal inference and its impacts on machine learning<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><p>December 3, 2020 | 08:00 AM (PT)<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-705436 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Daniel McDuff and Xin Lui's headshot appears next to their webinar title, camera based health sensing\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-16x9.jpg 16w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Camera-based non-contact health sensing<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p><p>Available on-demand<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-On-Demand.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<br \/>\n\t\t\t<div class=\"ms-grid \">\n\t\t\t<div class=\"ms-row\">\n\t\t\t\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-676803 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788.png\" alt=\"Mark Hamilton's headshot appears next to his Microsoft Research webinar title, Discovering hidden connections in art with deep, interpretable visual analogies\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788.png 1400w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1280x720.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><strong>Discovering hidden connections in art with deep, interpretable visual analogies<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><p>Available on-demand<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t\t<div  class=\"m-col-12-24\" >\n\t\t\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\">Print your own copy<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> of Alchemy with Friends to play at home.<\/p>\n<p>Share your favorite card combinations using #AlchemyFriends on Twitter, Facebook, or Instagram. We now have three versions of the game available for you to play at home!<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-626472\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\" alt=\"Animated illustration of how to play #AlchemyFriends\" width=\"1400\" height=\"788\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends Original (must have this deck)\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends Original (must have this deck)\t<\/a>\n\n\t<\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-ML-Expansion-Pack.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends ML Expansion Pack\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends ML Expansion Pack\t<\/a>\n\n\t<\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-CV-Expansion-Pack.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends CV Expansion Pack\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends CV Expansion Pack\t<\/a>\n\n\t<\/div>\n<\/div>\n<div style=\"height: 20px\"><\/div>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.facebook.com\/microsoftresearch\/\" target=\"_blank\" rel=\"noopener\">Facebook<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: MicrosoftResearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/x.com\/MSFTResearch\" target=\"_blank\" rel=\"noopener\">Twitter:<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> @MSFTResearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.youtube.com\/user\/MicrosoftResearch\" target=\"_blank\" rel=\"noopener\">YouTube<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: microsoftresearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/LinkedInMSR\" target=\"_blank\" rel=\"noopener\">LinkedIn<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: aka.ms\/LinkedInMSR<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.instagram.com\/msft_research\/\" target=\"_blank\" rel=\"noopener\">Instagram<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: @msft_research<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft is delighted to sponsor and attend NeurIPS 2020, the largest machine learning conference of the year. Microsoft will showcase state-of-the-art research with over 100 co-authored papers, as well as participation in a variety of workshops, tutorials and competitions. If you are attending NeurIPS 2020, we encourage you to stop by our virtual booth to chat with our experts, see demos of our latest research, and find out about career opportunities with Microsoft. In addition to our participation in the main conference, Microsoft is also proud to sponsor and participate in the Black in AI, Queer in AI, and Women in Machine Learning Workshops.<\/p>\n","protected":false},"featured_media":706486,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2020-12-06","msr_enddate":"2020-12-12","msr_location":"Virtual","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-region":[256048],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-708199","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-global","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Microsoft at NeurIPS 2020\",\"backgroundColor\":\"grey\",\"image\":{\"id\":706486,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner.png\",\"alt\":\"\"},\"imageType\":\"full-bleed\"} \/-->\n\n<!-- wp:msr\/content-tabs --><!-- wp:msr\/content-tab {\"title\":\"About\"} --><!-- wp:freeform --><p><strong>Website:<\/strong> <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/\" target=\"_blank\" rel=\"noopener noreferrer\">NeurIPS 2020<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>Microsoft is delighted to sponsor and attend the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/\" target=\"_blank\" rel=\"noopener\">34th Annual Conference on Neural Information Processing System (NeurIPS 2020)<\/a>, the largest machine learning conference of the year. As a proud Platinum Sponsor of NeurIPS 2020, Microsoft will showcase state-of-the-art research with over 100 co-authored papers, as well as participation in a variety of workshops, tutorials and competitions. If you are attending NeurIPS 2020, we encourage you to stop by our virtual booth to chat with our experts, see demos of our latest research, and find out about career opportunities with Microsoft. In addition to our participation in the main conference, Microsoft is also proud to sponsor and participate in the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blackinai.github.io\/workshop\/2020\/cfp\/\" target=\"_blank\" rel=\"noopener\">Black in AI<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sites.google.com\/view\/queer-in-ai\/home\" target=\"_blank\" rel=\"noopener\">Queer in AI<\/a>, and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wimlworkshop.org\/sh_events\/wiml-workshop-2020\/\" target=\"_blank\" rel=\"noopener\">Women in Machine Learning<\/a> Workshops.<\/p>\n<div style=\"background-color: #d3d3d3;color: white;padding: 25px 20px 10px 30px\">\n<blockquote>\n<h3 style=\"color: #000000;text-align: center\">NeurIPS 2020 Invited talk<\/h3>\n<p style=\"text-align: center\"><span style=\"color: #000000\">Watch <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>&#8216;s Posner Lecture<\/span><br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/neurips.cc\/virtual\/2020\/public\/invited_16165.html\" target=\"_blank\" rel=\"noopener\"><strong>The Real AI Revolution<\/strong><\/a><\/p>\n<\/blockquote>\n<\/div>\n<div style=\"height: 40px\"><\/div>\n<h3>Virtual Fireside Chat with Professor Yoshua Bengio &amp; Dr. Chris Bishop<\/h3>\n<div class=\"video-wrapper margin-bottom-sp1\"><iframe loading=\"lazy\" title=\"The opportunities with AI and machine learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/954inChlPxE?feature=oembed&#038;rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<div style=\"height: 30px\"><\/div>\n<h3>Organizing Committee members<\/h3>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, Tutorial Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Demonstration and Competitions Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yalesong\/\">Yale Song<\/a>, Expo Co-Chair<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, Diversity and Inclusion Co-Chair<\/p>\n<h3>NeurIPS Foundation Board 2020<\/h3>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, Board Member<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Booth schedule\"} --><!-- wp:freeform --><h2>Live chat with us<\/h2>\n<p>Join us in the Microsoft booth to chat with experts about our research and open opportunities with Microsoft. See below for our live chat and live demo schedules.<\/p>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Sunday, December 6<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">19:00\u201320:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Monday, December 7<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Edward Tiong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subho Mukherjee<\/a>, Senior Scientist<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kevyan\/\">Kevin Yang<\/a>, Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data &amp; Applied Scientist<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/praveenp.com\/\">Praveen Palanisamy<\/a>, Research &amp; Engineering<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nJenna Hong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a>, Principal Research Manager<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Researcher<br \/>\nJason Eisner, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data &amp; Applied Scientist<br \/>\nJames Budnik, HR Team\/Recruiter<br \/>\nJenna Hong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering<br \/>\nDipendra Misra, Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre K\u0131c\u0131man<\/a>, Researcher<br \/>\nOssie Roycroft, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Hari Dubey, Scientist\/Engineer<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher<br \/>\nJenna Hong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">06:00\u201307:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cassandra Oduola, Responsible AI<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">09:00\u201310:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Women at Microsoft<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/andrea-trevino-gavito\/\" target=\"_blank\" rel=\"noopener\">Andrea Trevino Gavito<\/a>, Microsoft AI Development<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/anusua\/\" target=\"_blank\" rel=\"noopener\">Anusua Trivedi<\/a>, AI for Good<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/arushijain1711\/\" target=\"_blank\" rel=\"noopener\">Arushi Jain<\/a>, Microsoft AI Development<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a>, Responsible AI, Human AI-Collaboration<br \/>\nCassandra Oduola, Responsible AI<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\">Evelyne Viegas<\/a>, Research Engagement Outreach Programs (e.g., collaborative projects, fellowships)<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<\/a>, CAST (Cloud AI System Technology in Azure)<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jennahong97\/\" target=\"_blank\" rel=\"noopener\">Jenna Hong<\/a>, Microsoft AI Development<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Game Intelligence<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/lingling-zheng-a601698\/\" target=\"_blank\" rel=\"noopener\">Lingling Zheng<\/a>, AI Ops\/Cloud Intelligence<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slbird\/\">Sarah Bird<\/a>, Responsible AI Lead, Azure Cognitive Services<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shbannur\/\">Shruthi Bannur<\/a>, Health Intelligence<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nAndrea Trevino Gavito, Data &amp; Applied Scientist<br \/>\nJenna Hong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet<\/a>, Senior Researcher<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter<br \/>\nDipendra Misra, Researcher<br \/>\nJenna Hong, Data &amp; Applied Scientist<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist<br \/>\nOssie Roycroft, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Urszula Chajewska, Data &amp; Applied Scientist<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher<br \/>\nVikas Gosain, HR Team\/Recruiter<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div style=\"height: 35px\"><\/div>\n<h2>Live Demo schedule<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\n<tbody>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">17:00\u201318:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Accepted papers\"} --><!-- wp:freeform --><p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-22\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-22\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-21\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tMonday, December 7\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-21\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-22\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Monday, December 7<\/h2>\n<p style=\"margin-bottom: 0px\">18:15\u201318:30 PT | Oral: COVID\/Health\/Bio Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:00\u201319:10 PT | Spotlight: Representation\/Relational<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<\/a>, Baekjin Kim, Ambuj Tewari<\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Poster Session: December 7<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 0<\/p>\n<p style=\"margin-bottom: 0px\"><b>Adversarial Attacks on Deep Graph Matching<\/b><\/p>\n<p>Zijie Zhang, Zeru Zhang, Yang Zhou, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yelong-shen-84b0122b\/\" target=\"_blank\" rel=\"noopener\">Yelong Shen<\/a>, Ruoming Jin, Dejing Dou<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/constrained-episodic-reinforcement-learning-in-concave-convex-and-knapsack-settings\/\"><b>Constrained episodic reinforcement learning in concave-convex and knapsack settings<\/b><\/a><\/p>\n<p>Kiant\u00e9 Brantley, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mdudik\/\">Miro Dudik<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/thlykour\/\">Thodoris Lykouris<\/a>, Sobhan Miryoosefi, Max Simchowitz, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a>, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hierarchical-poset-decoding-for-compositional-generalization-in-language\/\"><b>Hierarchical Poset Decoding for Compositional Generalization in Language<\/b><\/a><\/p>\n<p>Yinuo Guo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/information-theoretic-regret-bounds-for-online-nonlinear-control\/\"><b>Information Theoretic Regret Bounds for Online Nonlinear Control<\/b><\/a><\/p>\n<p>Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Kendall Lowrey, Motoya Ohnishi, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-dynamic-knowledge-graphs-to-generalize-on-text-based-games\/\"><b>Learning Dynamic Belief Graphs to Generalize on Text-Based Games<\/b><\/a><\/p>\n<p>Ashutosh Adhikari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Mikul\u00e1\u0161 Zelinka, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/marondea\/\">Marc-Antoine Rondeau<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rolaroch\/\">Romain Laroche<\/a>, Pascal Poupart, Jian Tang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Will Hamilton<\/p>\n<p style=\"margin-bottom: 0px\"><b>MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/wenhui-wang-064411121\/\" target=\"_blank\" rel=\"noopener\">Wenhui Wang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lidong1\/\">Li Dong<\/a>, Hangbo Bao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nanya\/\">Nan Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mingzhou\/\">Ming Zhou<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/morel-model-based-offline-reinforcement-learning\/\"><b>MOReL: Model-Based Offline Reinforcement Learning<\/b><\/a><\/p>\n<p>Rahul Kidambi, Aravind Rajeswaran, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Thorsten Joachims<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mpnet-masked-and-permuted-pre-training-for-language-understanding\/\"><b>MPNet: Masked and Permuted Pre-training for Language Understanding<\/b><\/a><\/p>\n<p>Kaitao Song, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Jianfeng Lu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\n<p><em>Oral Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<\/a>, Baekjin Kim, Ambuj Tewari<\/p>\n<p><em>Spotlight Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Parametric Instance Classification for Unsupervised Visual Feature learning<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Zhenda Xie, Bin Liu, Yutong Lin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-good-batch-reinforcement-learning-without-great-exploration\/\"><b>Provably Good Batch Reinforcement Learning Without Great Exploration<\/b><\/a><\/p>\n<p>Yao Liu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adswamin\/\">Adith Swaminathan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Emma Brunskill<\/p>\n<p style=\"margin-bottom: 0px\"><b>Restoring Negative Information in Few-Shot Object Detection<\/b><\/p>\n<p>Yukuan Yang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, Miaojing Shi, Guoqi Li<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Spotlight Session: December 7<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sampling-decomposable-generative-adversarial-recommender\/\"><b>Sampling-Decomposable Generative Adversarial Recommender<\/b><\/a><\/p>\n<p>Binbin Jin, Defu Lian, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhengliu\/\">Zheng Liu<\/a>, Qi Liu, Jianhui Ma, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\">Xing Xie<\/a>, Enhong Chen<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/understanding-global-feature-contributions-with-additive-importance-measures\/\"><b>Understanding Global Feature Contributions With Additive Importance Measures<\/b><\/a><\/p>\n<p>Ian Covert, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sclundbe\/\">Scott Lundberg<\/a>, Su-In Lee <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-24\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-24\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-23\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tTuesday, December 8\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-23\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-24\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Tuesday, December 8<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">06:30\u201306:45 PT | Oral: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: Social\/Privacy<\/p>\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:40\u201308:00 PT | Demonstration<\/p>\n<p style=\"margin-bottom: 0px\"><b>MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval<\/b><\/p>\n<p>Mark Hamilton, Lei Zhang, Bill Freeman, Marina Rogers, Darius Bopp, Johnny Bui, Margaret Wang, Mindren Lu, Zhenbang Chen, Christopher Hoder<\/p>\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Chi Jin, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 1<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/coinpress-practical-private-mean-and-covariance-estimation\/\"><b>CoinPress: Practical Private Mean and Covariance Estimation<\/b><\/a><\/p>\n<p>Sourav Biswas, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<\/a>, Gautam Kamath, Jonathan Ullman<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cross-validation-confidence-intervals-for-test-error\/\"><b>Cross-validation Confidence Intervals for Test Error<\/b><\/a><\/p>\n<p>Pierre Bayle, Alexandre Bayle, Lucas Janson, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deep-reinforcement-and-infomax-learning\/\"><b>Deep Reinforcement and InfoMax Learning<\/b><\/a><\/p>\n<p>Bogdan Mazoure, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Thang Long DOAN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/phbachma\/\">Philip Bachman<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/devonh\/\">R Devon Hjelm<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/denoised-smoothing-a-provable-defense-for-pretrained-classifiers\/\"><b>Denoised Smoothing: A Provable Defense for Pretrained Classifiers<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Mingjie Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, J. Zico Kolter<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-contextual-bandits-with-continuous-actions\/\"><b>Efficient Contextual Bandits with Continuous Actions<\/b><\/a><\/p>\n<p>Maryam Majzoubi, Chicheng Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ranaras\/\">Rajan Chari<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fairness-in-streaming-submodular-maximization-algorithms-and-hardness\/\"><b>Fairness in Streaming Submodular Maximization: Algorithms and Hardness<\/b><\/a><\/p>\n<p>Marwa El Halabi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, Jakab Tardos, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\n<p><em>Oral Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Learning Structured Distributions From Untrusted Batches: Faster and Simpler<\/b><\/p>\n<p>Sitan Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Ankur Moitra<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-the-linear-quadratic-regulator-from-nonlinear-observations\/\"><b>Learning the Linear Quadratic Regulator from Nonlinear Observations<\/b><\/a><\/p>\n<p>Zakaria Mhammedi, Dylan Foster, Max Simchowitz, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dimisra\/\">Dipendra Misra<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Alexander Rakhlin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Network size and size of the weights in memorization with two-layers neural networks<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sebubeck\/\">Sebastien Bubeck<\/a>, Ronen Eldan, Yin Tat Lee, Dan Mikulincer<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-infinite-width-hypernetworks\/\"><b>On Infinite-Width Hypernetworks<\/b><\/a><\/p>\n<p>Etai Littwin, Tomer Galanti, Lior Wolf, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning\/\"><b>PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mikael-henaff-628a9021\/\" target=\"_blank\" rel=\"noopener\">Mikael Henaff<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, Wen Sun<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-adaptive-reinforcement-learning-in-metric-spaces\/\"><b>Provably adaptive reinforcement learning in metric spaces<\/b><\/a><\/p>\n<p>Tongyi Cao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pushing-the-limits-of-narrow-precision-inferencing-at-cloud-scale-with-microsoft-floating-point\/\"><b>Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/birouhan\/\">Bita Darvish Rouhani<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlo\/\">Daniel Lo<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/ritchie-zhao-47831a79\/\" target=\"_blank\" rel=\"noopener\">Ritchie Zhao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mliu\/\">Ming Liu<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfowers\/\">Jeremy Fowers<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kaovt\/\">Kalin Ovtcharov<\/a>, Anna Vinogradsky, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/sarah-garrod-massengill-76262728\/\" target=\"_blank\" rel=\"noopener\">Sarah Massengill<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yanglita\/\" target=\"_blank\" rel=\"noopener\">Lita Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raybit\/\">Ray Bittner<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sandrof\/\">Alessandro Forin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haishan-zhu\/\">Haishan Zhu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/taesik-na\/\" target=\"_blank\" rel=\"noopener\">Taesik Na<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prepatel\/\">Prerak Patel<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/shuai-che-797a088\/\" target=\"_blank\" rel=\"noopener\">Shuai Che<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/lokchand\/\" target=\"_blank\" rel=\"noopener\">Lok Chand Koppaka<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stever\/\">Steve Reinhardt<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slanka\/\">Sitaram Lanka<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaso\/\">Xia Song<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/subhojitsom\/\" target=\"_blank\" rel=\"noopener\">Subhojit Som<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/kaustav-das-3563abb\/\" target=\"_blank\" rel=\"noopener\">Kaustav Das<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/saurabh-tiwary\/\" target=\"_blank\" rel=\"noopener\">Saurabh K T<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/erchung\/\">Eric Chung<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dburger\/\">Doug Burger<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>RepPoints v2: Verification Meets Regression for Object Detection<\/b><\/p>\n<p>Yihong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Liwei Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stevelin\/\">Stephen Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization<\/b><\/p>\n<p>Sam Hopkins, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Fred Zhang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Chi Jin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-loca-regret-a-consistent-metric-to-evaluate-model-based-behavior-in-reinforcement-learning\/\"><b>The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm Van Seijen<\/a>, Hadi Nekoei, Evan Racah, Sarath Chandar<\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:30\u201319:40 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">19:50\u201320:00 PT | Spotlight: Deep Learning\/Theory<\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:50\u201320:00 PT | Spotlight: Reinforcement Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Poster Session: December 8<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 2<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\n<p><em>Oral Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>GreedyFool: Distortion-Aware Sparse Adversarial Attack<\/b><\/p>\n<p>Xiaoyi Dong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianbao\/\">Jianmin Bao<\/a>, Chuan Qin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/luyuan\/\">Lu Yuan<\/a>, Weiming Zhang, Nenghai Yu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/doch\/\">Dong Chen<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rd2-reward-decompositionwith-representation-disentanglement\/\"><b>RD2: Reward Decomposition with Representation Disentanglement<\/b><\/a><\/p>\n<p>Zichuan Lin, Derek Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lizo\/\">Li Zhao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Guangwen Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Guanghao Ye<\/p>\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\n<p><em>Spotlight Session: December 8<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Towards Interpretable Natural Language Understanding with Explanations as Latent Variables<\/b><\/p>\n<p>Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cxiong\/\">Chenyan Xiong<\/a>, Jian Tang <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-26\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-26\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-25\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tWednesday, December 9\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-25\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-26\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Wednesday, December 9<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">06:15\u201306:30 PT | Oral: COVID\/Applications\/Composition<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: COVID\/Applications\/Composition<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Continual\/Meta\/Misc Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">07:50\u201308:00 PT | Spotlight: Deep Learning<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy\/\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">08:10\u201308:20 PT | Spotlight: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 3<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-causal-view-on-robustness-of-neural-networks\/\"><b>A Causal View on Robustness of Neural Networks<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ave-assistance-via-empowerment\/\"><b>AvE: Assistance via Empowerment<\/b><\/a><\/p>\n<p>Yuqing Du, Stas Tiomkin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre Kiciman<\/a>, Daniel Polani, Pieter Abbeel, Anca Dragan<\/p>\n<p style=\"margin-bottom: 0px\"><b>BERT Loses Patience: Fast and Robust Inference with Early Exit<\/b><\/p>\n<p>Wangchunshu Zhou, Canwen Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tage\/\">Tao Ge<\/a>, Julian McAuley, Ke Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/domain-adaptation-with-conditional-distribution-matching-and-generalized-label-shift\/\"><b>Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Han Zhao, Yu-Xiang Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ggordon\/\">Geoffrey Gordon<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-algorithms-for-device-placement-of-dnn-graph-operators\/\"><b>Efficient Algorithms for Device Placement of DNN Graph Operators<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/amar\/\">Amar Phanishayee<\/a>, Nikhil Devanur, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mahajandivya\/\" target=\"_blank\" rel=\"noopener\">Divya Mahajan<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games<\/b><\/p>\n<p>Arun Suggala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/geometric-dataset-distances-via-optimal-transport\/\"><b>Geometric Dataset Distances via Optimal Transport<\/b><\/a><\/p>\n<p>David Alvarez Melis, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>How do fair decisions fare in long-term qualification?<\/b><\/p>\n<p>Xueru Zhang, Ruibo Tu, Yang Liu, mingyan liu, Hedvig Kjellstrom, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\n<p><em>Oral Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler<\/b><\/p>\n<p>Zhining Liu, Pengfei Wei, Jing Jiang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/weicao1990.github.io\/\" target=\"_blank\" rel=\"noopener\">Wei Cao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jibian\/\">Jiang Bian<\/a>, Yi Chang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/minimax-estimation-of-conditional-moment-models\/\"><b>Minimax Estimation of Conditional Moment Models<\/b><\/a><\/p>\n<p>Nishanth Dikkala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/glewis\/\">Greg Lewis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vasy\/\">Vasilis Syrgkanis<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-loss-landscape-of-adversarial-training-identifying-challenges-and-how-to-overcome-them\/\"><b>On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them<\/b><\/a><\/p>\n<p>Chen Liu, Mathieu Salzmann, Tao LIN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ryoto\/\">Ryota Tomioka<\/a>, Sabine S\u00fcsstrunk<\/p>\n<p style=\"margin-bottom: 0px\"><b>Statistical Optimal Transport posed as Learning Kernel Embedding<\/b><\/p>\n<p>Saketha Nath Jagarlapudi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/pratikjawanpuria.com\/\" target=\"_blank\" rel=\"noopener\">Pratik Kumar Jawanpuria<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>The Pitfalls of Simplicity Bias in Neural Networks<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/harshay.me\/\" target=\"_blank\" rel=\"noopener\">Harshay Shah<\/a>, Kaustav Tamuly, Aditi Raghunathan, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Zero-Resource Knowledge-Grounded Dialogue Generation<\/b><\/p>\n<p>Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao<\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">19:10\u201319:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<\/a>, Yunhai Tong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:10\u201320:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Vision Applications<\/p>\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p><em>Poster Session: December 9<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 4<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-matrix-chernoff-bound-for-markov-chains-and-its-application-to-co-occurrence-matrices\/\"><b>A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices<\/b><\/a><\/p>\n<p>Jiezhong Qiu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Ben Liao, Richard Peng, Jie Tang<\/p>\n<p style=\"margin-bottom: 0px\"><b>Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment<\/b><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/govinda-kamath\" target=\"_blank\" rel=\"noopener\">Govinda Kamath<\/a>, Tavor Baharav, Ilan Shomorony<\/p>\n<p style=\"margin-bottom: 0px\"><b>GAN Memory with No Forgetting<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chunyl\/\">Chunyuan Li<\/a>, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/online-influence-maximization-under-linear-threshold-model\/\"><b>Online Influence Maximization under Linear Threshold Model<\/b><\/a><\/p>\n<p>Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, <b>Wei Chen<\/b><\/p>\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\n<p style=\"margin-bottom: 0px\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<\/a>, Yunhai Tong, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<\/a><\/p>\n<p><em>Spotlight Session: December 9<\/em> <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-28\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-28\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-27\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tThursday, December 10\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-27\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-28\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<h2>Thursday, December 10<\/h2>\n<\/p>\n<p style=\"margin-bottom: 0px\">07:10\u201307:20 PT | Spotlight: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Graph\/Relational\/Theory<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<hr \/>\n<p>09:00\u201311:00 PT | Poster Session 5<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\n<p><em>Spotlight Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/copt-coordinated-optimal-transport-on-graphs\/\"><b>COPT: Coordinated Optimal Transport on Graphs<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<\/a>, Will Sawin<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/empirical-likelihood-for-contextual-bandits\/\"><b>Empirical Likelihood for Contextual Bandits<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nikosk\/\">Nikos Karampatziakis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-regularization-and-convergence-for-weight-normalization\/\"><b>Implicit Regularization and Convergence for Weight Normalization<\/b><\/a><\/p>\n<p>Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Rachel Ward, Qiang Liu<\/p>\n<p style=\"margin-bottom: 0px\"><b>On the Expressiveness of Approximate Inference in Bayesian Neural Networks<\/b><\/p>\n<p>Andrew Foong, David Burt, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, Richard E Turner<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-warm-starting-neural-network-training\/\"><b>On Warm-Starting Neural Network Training<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Ryan Adams<\/p>\n<p style=\"margin-bottom: 0px\"><b>VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data<\/b><\/p>\n<p>Chao Ma, Sebastian Tschiatschek, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<hr \/>\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Optimization<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\n<p><em>Poster Session: December 10<\/em><\/p>\n<hr \/>\n<p>21:00\u201323:00 PT | Poster Session 6<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping\/\"><b>Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping<\/b><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuxhe\/\">Yuxiong He<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/adatune-adaptive-tensor-program-compilation-made-efficient\/\"><b>AdaTune: Adaptive Tensor Program Compilation Made Efficient<\/b><\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/%E6%A2%A6%E5%A5%BD-%E6%9D%8E-194a701b8\/\" target=\"_blank\" rel=\"noopener\">Menghao Li<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/mingqin-%E6%9D%8E%E6%98%8E%E7%90%B4-b017b41a\/\" target=\"_blank\" rel=\"noopener\">Mingqin Li<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><b>Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search<\/b><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hopeng\/\">Houwen Peng<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/hao-du-a1847595\/\" target=\"_blank\" rel=\"noopener\">Hao Du<\/a>, Hongyuan Yu, QI LI, Jing Liao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\">Jianlong Fu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disentangling-human-error-from-the-ground-truth-in-segmentation-of-medical-images\/\"><b>Disentangling Human Error from Ground Truth in Segmentation of Medical Images<\/b><\/a><\/p>\n<p>Le Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rytanno\/\">Ryutaro Tanno<\/a>, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\n<p><em>Oral Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><b>Graph Policy Network for Transferable Active Learning on Graphs<\/b><\/p>\n<p>Shengding Hu, Zheng Xiong, Meng Qu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Zhiyuan Liu, Jian Tang<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hm-ann-efficient-billion-point-nearest-neighbor-search-on-heterogeneous-memory\/\"><b>HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory<\/b><\/a><\/p>\n<p>Jie Ren, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, Dong Li<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/impatientcapsandruns-approximately-optimal-algorithm-configuration-from-an-infinite-pool\/\"><b>ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool<\/b><\/a><\/p>\n<p>Gellert Weisz, Andr\u00e1s Gy\u00f6rgy, Wei-I Lin, Devon Graham, Kevin Leyton-Brown, Csaba Szepesvari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/brlucier\/\">Brendan Lucier<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/intra-order-preserving-functions-for-calibration-of-multi-class-neural-networks\/\"><b>Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks<\/b><\/a><\/p>\n<p>Amir Rahimi, Amirreza Shaban, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, Richard I Hartley, Byron Boots<\/p>\n<p style=\"margin-bottom: 0px\"><b>Passport-aware Normalization for Deep Model Protection<\/b><\/p>\n<p>Jie Zhang, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<\/a>, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu<\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\n<p><em>Spotlight Session: December 10<\/em><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/semi-supervised-neural-architecture-search\/\"><b>Semi-Supervised Neural Architecture Search<\/b><\/a><\/p>\n<p>Renqian Luo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/wangruicmu\/\" target=\"_blank\" rel=\"noopener\">Rui Wang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Enhong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a><\/p>\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/stochastic-stein-discrepancies\/\"><b>Stochastic Stein Discrepancies<\/b><\/a><\/p>\n<p>Jackson Gorham, Anant Raj, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a> <span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Tutorials u0026 Workshops\"} --><!-- wp:freeform --><h2>Sunday, December 6<\/h2>\n<p>10:00 PT | Workshop<br \/>\n<strong>Real World RL with Vowpal Wabbit: Beyond Contextual Bandits<\/strong><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jaalber\/\">Jacob Alber<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raaboulh\/\">Rafah Hosn<\/a><\/p>\n<p>14:00 PT | Talk<br \/>\n<strong>The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems<\/strong><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a><\/p>\n<hr \/>\n<h2>Monday, December 7<\/h2>\n<p>06:00 \u2013 12:30 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blackinai2020.vercel.app\/\" target=\"_blank\" rel=\"noopener\"><strong>Black in AI<\/strong><\/a><br \/>\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a><\/p>\n<p>08:00\u201310:30 PT | Tutorial<br \/>\n<b>Advances in Approximate Inference<\/b><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a><\/p>\n<hr \/>\n<h2>Tuesday, December 8<\/h2>\n<p>12:00\u201316:00 PT | Symposium<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 1<\/strong><\/a><br \/>\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie<\/p>\n<hr \/>\n<h2>Wednesday, December 9<\/h2>\n<p>01:40 \u2013 18:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wimlworkshop.org\/neurips2020\/\" target=\"_blank\" rel=\"noopener\"><strong>Women in Machine Learning<\/strong><\/a><br \/>\nDiversity &amp; Inclusion Co-chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a><br \/>\nArea Chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a><br \/>\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/epierson\/\">Emma Pierson<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kate\/\">Kate Crawford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sdumais\/\">Susan Dumais<\/a><\/p>\n<p>12:00\u201316:00 PT | Symposium<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 2<\/strong><\/a><br \/>\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie<\/p>\n<hr \/>\n<h2>Friday, December 11<\/h2>\n<p>06:50\u201316:50 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.cmu.edu\/dietrich\/causality\/neurips20ws\/\" target=\"_blank\" rel=\"noopener\"><b>Causal Discovery and Causality-Inspired Machine Learning<\/b><\/a><br \/>\nBiwei\u00a0Huang,\u00a0Sara\u00a0Magliacane,\u00a0Kun\u00a0Zhang,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Elias\u00a0Bareinboim,\u00a0Daniel Malinsky,\u00a0Thomas Richardson,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/meek\/\">Christopher Meek<\/a>,\u00a0Peter\u00a0Spirtes,\u00a0Bernhard\u00a0Sch\u00f6lkopf<\/p>\n<p>06:00\u201316:20 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ml4health.github.io\/2020\/\" target=\"_blank\" rel=\"noopener\"><b>Machine Learning for Health: Advancing Healthcare for All<\/b><\/a><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>,\u00a0Emily\u00a0Alsentzer,\u00a0Andrew Beam,\u00a0Brett Beaulieu-Jones,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Allen Schmaltz,\u00a0Irene Y Chen,\u00a0Anna Goldenberg,\u00a0Matthew McDermott,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>,\u00a0Charles\u00a0Onu<\/p>\n<p>08:30\u201321:00 PT | Workshop<br \/>\n<b><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ml-retrospectives.github.io\/neurips2020\/\" target=\"_blank\" rel=\"noopener\">ML Retrospectives, Surveys &amp; meta-Analyses<\/a>\u00a0<\/b><br \/>\nChhavi\u00a0Yadav,\u00a0Prabhu Pradhan,\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/abhishekgupta19\/\" target=\"_blank\" rel=\"noopener\">Abhishek Gupta<\/a>,\u00a0Ryan Lowe,\u00a0Peter Henderson,\u00a0Jessica Forde Jessica Forde,\u00a0Mayoore\u00a0Jaiswal,\u00a0Jesse Dodge<\/p>\n<hr \/>\n<h2>Saturday, December 12<\/h2>\n<p><strong>Machine Learning For Systems<\/strong> | Workshop<br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/resonance-replacing-software-constants-with-context-aware-models-in-real-time-communication\/\">Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication<\/a><br \/>\n<strong>Jayant Gupchup<\/strong>, <strong>Ashkan Aazami<\/strong>, <strong>Yaran Fan<\/strong>, <strong>Senja Filipi<\/strong>, <strong>Tom Finley<\/strong>, <strong>Scott Inglis<\/strong>, <strong>Marcus Asteborg<\/strong>, <strong>Luke Caroll<\/strong>, <strong>Rajan Chari<\/strong>, <strong>Markus Cozowicz<\/strong>, <strong>Vishak Gopal<\/strong>, <strong>Vinod Prakash<\/strong>, <strong>Sasikanth Bendapudi<\/strong>, <strong>Jack Gerrits<\/strong>, <strong>Eric Lau<\/strong>, <strong>Huazhou Liu<\/strong>, <strong>Marco Rossi<\/strong>, <strong>Dima Slobodianyk<\/strong>, <strong>Dmitri Birjukov<\/strong>, <strong>Matty Cooper<\/strong>, <strong>Nilesh Javar<\/strong>, <strong>Dmitriy Perednya<\/strong>, <strong>Sriram Srinivasan<\/strong>, <strong>John Langford<\/strong>, <strong>Ross Cutler<\/strong>, <strong>Johannes Gehrke<\/strong><\/p>\n<p>04:45\u201314:45 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/i-cant-believe-its-not-better.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>I Can\u2019t Believe it is Not Better: Bridging the Gap between Theory and Empiricism in Probabilistic Machine Learning<\/strong><\/a><br \/>\nJessica Zosa Forde, Francisco Ruiz, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/melaniefp.github.io\/\" target=\"_blank\" rel=\"noopener\">Melanie F. Pradier<\/a>, Aaron Schein, Finale Doshi-Velez, David Blei, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a><\/p>\n<p>05:20\u201312:55 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.cooperativeai.com\/\" target=\"_blank\" rel=\"noopener\"><b>Cooperative AI<\/b><\/a><br \/>\nThore\u00a0Graepel,\u00a0Dario\u00a0Amodei,\u00a0Vincent\u00a0Conitzer,\u00a0Allan Dafoe,\u00a0Gillian Hadfield,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\">Eric Horvitz<\/a>,\u00a0Sarit Kraus,\u00a0Kate Larson,\u00a0Yoram Bachrach<\/p>\n<p>05:30\u201315:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/nbiair.com\/\" target=\"_blank\" rel=\"noopener\"><b>Navigating the Broader Impacts of AI Research<\/b><\/a><br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/overcoming-failures-of-imagination-in-ai-infused-system-development-and-deployment\/\">Overcoming Failures of Imagination in AI Infused System Development and Deployment<\/a><br \/>\nCarolyn Ashurst,\u00a0Rosie Campbell,\u00a0Deborah Raji,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/solon\/\">Solon Barocas<\/a>,\u00a0Stuart Russell<\/p>\n<p>06:00\u201315:00 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/wordplay-workshop.github.io\/\" target=\"_blank\" rel=\"noopener\"><b>Wordplay: When Language Meets Games<\/b><\/a><br \/>\nPrithviraj\u00a0Ammanabrolu,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mahauskn\/\">Matthew Hausknecht<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi\u00a0Yuan<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre\u00a0C\u00f4t\u00e9<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Kory Mathewson, John\u00a0Urbanek,\u00a0Jason Weston,\u00a0Mark\u00a0Riedl<\/p>\n<p>08:50\u201318:40 PT | Workshop<br \/>\n<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sslneuips20.github.io\/pages\/Accepted%20Paper.html\" target=\"_blank\" rel=\"noopener\"><strong>Self-Supervised Learning \u2013 Theory and Practice<\/strong><\/a><br \/>\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/make-lead-bias-in-your-favor-zero-shot-abstractive-news-summarization\/\">Make Lead Bias in Your Favor: Zero-shot Abstractive News Summarization<\/a><br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezhu\/\">Chenguang Zhu<\/a>, Ziyi Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rogmyr\/\">Robert Gmyr<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nzeng\/\">Michael Zeng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xdh\/\">Xuedong Huang<\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Competitions\"} --><!-- wp:freeform --><h2>Competitions<\/h2>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/diagnostic-questions\/\"><b>Diagnostic Questions: Predicting Student Responses and Measuring Question Quality<\/b><\/a><br \/>\nSimon Woodhead, Craig Barton, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Richard Turner, Jack Wang, Richard G. Baraniuk, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-anlam\/\">Angus Lamb<\/a>,\u00a0Evgeny\u00a0Saveliev,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pacamero\/\">Pashmina Cameron<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yordanz\/\">Yordan Zaykov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/simonpj\/\">Simon Peyton-Jones<\/a>,\u00a0<a href=\"mailto:%20edu_competition@outlook.com\">Cheng Zhang<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/efficientqa.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>Efficient Open-Domain Question Answering<\/strong><\/a><br \/>\n<strong>Hao Cheng<\/strong>, <strong>Yelong Shen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaodl\/\">Xiaodong Liu<\/a>, <strong>Pengcheng He<\/strong>, <strong>Weizhu Chen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\">Jianfeng Gao<\/a><br \/>\n<em>*First place in the Efficient Open-Domain Question Answering unrestrictive track<\/em><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.vanderschaar-lab.com\/privacy-challenge\/\" target=\"_blank\" rel=\"noopener\"><b>Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification with Clinical Time-series Data<\/b> <\/a><br \/>\nJames Jordon, Daniel Jarrett, Jinsung Yoon, Paul Elbers, Patrick Thoral, Ari Ercole, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Mihaela van der Schaar, Nick Maxfield<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Webinars\"} --><!-- wp:freeform --><p>Discover more about work accepted at NeurIPS 2020 in these webinars presented by Microsoft Research. Join these experts as they present their research in practical tutorials and answer questions afterwards in a live Q&amp;A. All presentations and live Q&amp;A sessions are recorded and will be available on demand.<\/p>\n<p>To learn more about the webinars and for registration, click \u201cregister\u201d below. See our full list of offerings at the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/webinar\/\">Microsoft Research Webinars<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> homepage.<\/p>\n<div style=\"height: 20px\"><\/div>\n<p>\t\t\t<div class=\"ms-grid \">\n\t\t\t<div class=\"ms-row\">\n\t\t\t\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-705745 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Amit Sharma and Emre Kiciman headshot appears next to their webinar title, causal inference\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-16x9.jpg 16w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Foundations of causal inference and its impacts on machine learning<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><p>December 3, 2020 | 08:00 AM (PT)<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-705436 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Daniel McDuff and Xin Lui's headshot appears next to their webinar title, camera based health sensing\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-16x9.jpg 16w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Camera-based non-contact health sensing<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p><p>Available on-demand<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-On-Demand.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<br \/>\n\t\t\t<div class=\"ms-grid \">\n\t\t\t<div class=\"ms-row\">\n\t\t\t\t\t<div  class=\"m-col-12-24\" >\n\t\t<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-676803 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788.png\" alt=\"Mark Hamilton's headshot appears next to his Microsoft Research webinar title, Discovering hidden connections in art with deep, interpretable visual analogies\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788.png 1400w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788-1280x720.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><strong>Discovering hidden connections in art with deep, interpretable visual analogies<\/strong><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><p>Available on-demand<\/p><div>\n\t<a\n\t\thref=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Register\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tRegister\t<\/a>\n\n\t<\/div><p>\t<\/div>\n\t\t<div  class=\"m-col-12-24\" >\n\t\t\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"#AlchemyFriends\"} --><!-- wp:freeform --><p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\">Print your own copy<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> of Alchemy with Friends to play at home.<\/p>\n<p>Share your favorite card combinations using #AlchemyFriends on Twitter, Facebook, or Instagram. We now have three versions of the game available for you to play at home!<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-626472\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\" alt=\"Animated illustration of how to play #AlchemyFriends\" width=\"1400\" height=\"788\" \/><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends Original (must have this deck)\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends Original (must have this deck)\t<\/a>\n\n\t<\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-ML-Expansion-Pack.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends ML Expansion Pack\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends ML Expansion Pack\t<\/a>\n\n\t<\/div>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-CV-Expansion-Pack.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"Alchemy with Friends CV Expansion Pack\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tAlchemy with Friends CV Expansion Pack\t<\/a>\n\n\t<\/div>\n<\/div>\n<div style=\"height: 20px\"><\/div>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.facebook.com\/microsoftresearch\/\" target=\"_blank\" rel=\"noopener\">Facebook<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: MicrosoftResearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/x.com\/MSFTResearch\" target=\"_blank\" rel=\"noopener\">Twitter:<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> @MSFTResearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.youtube.com\/user\/MicrosoftResearch\" target=\"_blank\" rel=\"noopener\">YouTube<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: microsoftresearch<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/LinkedInMSR\" target=\"_blank\" rel=\"noopener\">LinkedIn<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: aka.ms\/LinkedInMSR<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.instagram.com\/msft_research\/\" target=\"_blank\" rel=\"noopener\">Instagram<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: @msft_research<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- \/wp:msr\/content-tabs -->","tab-content":[{"id":0,"name":"About","content":"Microsoft is delighted to sponsor and attend the <a href=\"https:\/\/neurips.cc\/\" target=\"_blank\" rel=\"noopener\">34th Annual Conference on Neural Information Processing System (NeurIPS 2020)<\/a>, the largest machine learning conference of the year. As a proud Platinum Sponsor of NeurIPS 2020, Microsoft will showcase state-of-the-art research with over 100 co-authored papers, as well as participation in a variety of workshops, tutorials and competitions. If you are attending NeurIPS 2020, we encourage you to stop by our virtual booth to chat with our experts, see demos of our latest research, and find out about career opportunities with Microsoft. In addition to our participation in the main conference, Microsoft is also proud to sponsor and participate in the <a href=\"https:\/\/blackinai.github.io\/workshop\/2020\/cfp\/\" target=\"_blank\" rel=\"noopener\">Black in AI<\/a>, <a href=\"https:\/\/sites.google.com\/view\/queer-in-ai\/home\" target=\"_blank\" rel=\"noopener\">Queer in AI<\/a>, and <a href=\"https:\/\/wimlworkshop.org\/sh_events\/wiml-workshop-2020\/\" target=\"_blank\" rel=\"noopener\">Women in Machine Learning<\/a> Workshops.\r\n<div style=\"background-color: #d3d3d3;color: white;padding: 25px 20px 10px 30px\">\r\n<blockquote>\r\n<h3 style=\"color: #000000;text-align: center\">NeurIPS 2020 Invited talk<\/h3>\r\n<p style=\"text-align: center\"><span style=\"color: #000000\">Watch <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>'s Posner Lecture<\/span>\r\n<a href=\"https:\/\/neurips.cc\/virtual\/2020\/public\/invited_16165.html\" target=\"_blank\" rel=\"noopener\"><strong>The Real AI Revolution<\/strong><\/a><\/p>\r\n<\/blockquote>\r\n<\/div>\r\n<div style=\"height: 40px\"><\/div>\r\n<h3>Virtual Fireside Chat with Professor Yoshua Bengio &amp; Dr. Chris Bishop<\/h3>\r\nhttps:\/\/youtu.be\/954inChlPxE\r\n<div style=\"height: 30px\"><\/div>\r\n<h3>Organizing Committee members<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, Tutorial Co-Chair\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Demonstration and Competitions Co-Chair\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yalesong\/\">Yale Song<\/a>, Expo Co-Chair\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, Diversity and Inclusion Co-Chair\r\n<h3>NeurIPS Foundation Board 2020<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, Board Member"},{"id":1,"name":"Booth schedule","content":"<h2>Live chat with us<\/h2>\r\nJoin us in the Microsoft booth to chat with experts about our research and open opportunities with Microsoft. See below for our live chat and live demo schedules.\r\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Sunday, December 6<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">19:00\u201320:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Monday, December 7<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Edward Tiong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Researcher\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subho Mukherjee<\/a>, Senior Scientist\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kevyan\/\">Kevin Yang<\/a>, Researcher\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\nAndrea Trevino Gavito, Data &amp; Applied Scientist\r\n<a href=\"https:\/\/praveenp.com\/\">Praveen Palanisamy<\/a>, Research &amp; Engineering<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\nJenna Hong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Researcher\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a>, Principal Research Manager\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Researcher\r\nJason Eisner, Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\nAndrea Trevino Gavito, Data &amp; Applied Scientist\r\nJames Budnik, HR Team\/Recruiter\r\nJenna Hong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering\r\nDipendra Misra, Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vigopal\/\">Vishak Gopal<\/a>, Principal Software Engineer<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre K\u0131c\u0131man<\/a>, Researcher\r\nOssie Roycroft, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Hari Dubey, Scientist\/Engineer\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Researcher\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Name, Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">04:00\u201305:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cammy Vasquez, HR Team\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haschulz\/\">Hannes Schulz<\/a>, Senior Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">05:00\u201306:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm van Seijen<\/a>, Researcher\r\nJenna Hong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">06:00\u201307:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Cassandra Oduola, Responsible AI<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">09:00\u201310:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Women at Microsoft\r\n<a href=\"https:\/\/www.linkedin.com\/in\/andrea-trevino-gavito\/\" target=\"_blank\" rel=\"noopener\">Andrea Trevino Gavito<\/a>, Microsoft AI Development\r\n<a href=\"https:\/\/www.linkedin.com\/in\/anusua\/\" target=\"_blank\" rel=\"noopener\">Anusua Trivedi<\/a>, AI for Good\r\n<a href=\"https:\/\/www.linkedin.com\/in\/arushijain1711\/\" target=\"_blank\" rel=\"noopener\">Arushi Jain<\/a>, Microsoft AI Development\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a>, Responsible AI, Human AI-Collaboration\r\nCassandra Oduola, Responsible AI\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\">Evelyne Viegas<\/a>, Research Engagement Outreach Programs (e.g., collaborative projects, fellowships)\r\n<a href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<\/a>, CAST (Cloud AI System Technology in Azure)\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, FATE (fairness, accountability, transparency, and ethics in AI)\r\n<a href=\"https:\/\/www.linkedin.com\/in\/jennahong97\/\" target=\"_blank\" rel=\"noopener\">Jenna Hong<\/a>, Microsoft AI Development\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a>, Game Intelligence\r\n<a href=\"https:\/\/www.linkedin.com\/in\/lingling-zheng-a601698\/\" target=\"_blank\" rel=\"noopener\">Lingling Zheng<\/a>, AI Ops\/Cloud Intelligence\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slbird\/\">Sarah Bird<\/a>, Responsible AI Lead, Azure Cognitive Services\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shbannur\/\">Shruthi Bannur<\/a>, Health Intelligence<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\nAndrea Trevino Gavito, Data &amp; Applied Scientist\r\nJenna Hong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">12:00\u201313:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, Research &amp; Engineering\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet<\/a>, Senior Researcher<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201314:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Amy Siebenthaler, HR Team\/Recruiter\r\nDipendra Misra, Researcher\r\nJenna Hong, Data &amp; Applied Scientist<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">14:00\u201315:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Arushi Jain, Data &amp; Applied Scientist\r\nOssie Roycroft, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Urszula Chajewska, Data &amp; Applied Scientist\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Jason Eisner, Researcher\r\nVikas Gosain, HR Team\/Recruiter<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div style=\"height: 35px\"><\/div>\r\n<h2>Live Demo schedule<\/h2>\r\n<table style=\"border-spacing: inherit;border-collapse: collapse;width: 100%;padding: 6px;text-align: center;border-bottom: 1px solid #000000\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Tuesday, December 8<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Wednesday, December 9<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">17:00\u201318:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000;background-color: #dddddd\" colspan=\"2\"><strong>Thursday, December 10<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\"><strong>Time (PT)<\/strong><\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\"><strong>Live Demo<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">11:00\u201312:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">13:00\u201313:30<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">Recruiting Q&amp;A, Amy Sibenthaler<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">15:00\u201316:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">MineRL, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nkuno\/\">Sean Kuno<\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 30%;padding: 6px;border-bottom: 1px solid #000000\">16:00\u201317:00<\/td>\r\n<td style=\"padding: 6px;border-bottom: 1px solid #000000\">The future of intelligent sensors and Low code\/No code model creation, Henry Jerez<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":2,"name":"Accepted papers","content":"[accordion][panel header=\"Monday, December 7\"]\r\n<h2>Monday, December 7<\/h2>\r\n<p style=\"margin-bottom: 0px\">18:15\u201318:30 PT | Oral: COVID\/Health\/Bio Applications<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\r\n<em>Poster Session: December 7<\/em>\r\n<p style=\"margin-bottom: 0px\">19:00\u201319:10 PT | Spotlight: Representation\/Relational<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<\/a>, Baekjin Kim, Ambuj Tewari<\/p>\r\n<em>Poster Session: December 7<\/em>\r\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Reinforcement Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\r\n<em>Poster Session: December 7<\/em>\r\n\r\n<hr \/>\r\n\r\n21:00\u201323:00 PT | Poster Session 0\r\n<p style=\"margin-bottom: 0px\"><b>Adversarial Attacks on Deep Graph Matching<\/b><\/p>\r\nZijie Zhang, Zeru Zhang, Yang Zhou, <a href=\"https:\/\/www.linkedin.com\/in\/yelong-shen-84b0122b\/\" target=\"_blank\" rel=\"noopener\">Yelong Shen<\/a>, Ruoming Jin, Dejing Dou\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/constrained-episodic-reinforcement-learning-in-concave-convex-and-knapsack-settings\/\"><b>Constrained episodic reinforcement learning in concave-convex and knapsack settings<\/b><\/a><\/p>\r\nKiant\u00e9 Brantley, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mdudik\/\">Miro Dudik<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/thlykour\/\">Thodoris Lykouris<\/a>, Sobhan Miryoosefi, Max Simchowitz, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a>, Wen Sun\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hierarchical-poset-decoding-for-compositional-generalization-in-language\/\"><b>Hierarchical Poset Decoding for Compositional Generalization in Language<\/b><\/a><\/p>\r\nYinuo Guo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/information-theoretic-regret-bounds-for-online-nonlinear-control\/\"><b>Information Theoretic Regret Bounds for Online Nonlinear Control<\/b><\/a><\/p>\r\nSham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Kendall Lowrey, Motoya Ohnishi, Wen Sun\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-dynamic-knowledge-graphs-to-generalize-on-text-based-games\/\"><b>Learning Dynamic Belief Graphs to Generalize on Text-Based Games<\/b><\/a><\/p>\r\nAshutosh Adhikari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Mikul\u00e1\u0161 Zelinka, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/marondea\/\">Marc-Antoine Rondeau<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rolaroch\/\">Romain Laroche<\/a>, Pascal Poupart, Jian Tang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Will Hamilton\r\n<p style=\"margin-bottom: 0px\"><b>MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers<\/b><\/p>\r\n<a href=\"https:\/\/www.linkedin.com\/in\/wenhui-wang-064411121\/\" target=\"_blank\" rel=\"noopener\">Wenhui Wang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lidong1\/\">Li Dong<\/a>, Hangbo Bao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nanya\/\">Nan Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mingzhou\/\">Ming Zhou<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/morel-model-based-offline-reinforcement-learning\/\"><b>MOReL: Model-Based Offline Reinforcement Learning<\/b><\/a><\/p>\r\nRahul Kidambi, Aravind Rajeswaran, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Thorsten Joachims\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mpnet-masked-and-permuted-pre-training-for-language-understanding\/\"><b>MPNet: Masked and Permuted Pre-training for Language Understanding<\/b><\/a><\/p>\r\nKaitao Song, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Jianfeng Lu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multi-task-temporal-shift-attention-networks-for-on-device-contactless-vitals-measurement\/\"><b>Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Xin Liu, Josh Fromm, Shwetak Patel, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/damcduff\/\">Daniel McDuff<\/a><\/p>\r\n<em>Oral Session: December 7<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-equivalence-between-online-and-private-learnability-beyond-binary-classification\/\"><b>On the Equivalence between Online and Private Learnability beyond Binary Classification<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.linkedin.com\/in\/young-hun-jung\/\" target=\"_blank\" rel=\"noopener\">Young H Jung<\/a>, Baekjin Kim, Ambuj Tewari<\/p>\r\n<em>Spotlight Session: December 7<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Parametric Instance Classification for Unsupervised Visual Feature learning<\/b><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Zhenda Xie, Bin Liu, Yutong Lin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-good-batch-reinforcement-learning-without-great-exploration\/\"><b>Provably Good Batch Reinforcement Learning Without Great Exploration<\/b><\/a><\/p>\r\nYao Liu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adswamin\/\">Adith Swaminathan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Emma Brunskill\r\n<p style=\"margin-bottom: 0px\"><b>Restoring Negative Information in Few-Shot Object Detection<\/b><\/p>\r\nYukuan Yang, <a href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, Miaojing Shi, Guoqi Li\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/safe-reinforcement-learning-via-curriculum-induction\/\"><b>Safe Reinforcement Learning via Curriculum Induction<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Matteo Turchetta, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shitals\/\">Shital Shah<\/a>, Andreas Krause, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\r\n<em>Spotlight Session: December 7<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sampling-decomposable-generative-adversarial-recommender\/\"><b>Sampling-Decomposable Generative Adversarial Recommender<\/b><\/a><\/p>\r\nBinbin Jin, Defu Lian, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhengliu\/\">Zheng Liu<\/a>, Qi Liu, Jianhui Ma, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\">Xing Xie<\/a>, Enhong Chen\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/understanding-global-feature-contributions-with-additive-importance-measures\/\"><b>Understanding Global Feature Contributions With Additive Importance Measures<\/b><\/a><\/p>\r\nIan Covert, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sclundbe\/\">Scott Lundberg<\/a>, Su-In Lee [\/panel][panel header=\"Tuesday, December 8\"]\r\n<h2>Tuesday, December 8<\/h2>\r\n<p style=\"margin-bottom: 0px\">06:30\u201306:45 PT | Oral: Reinforcement Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: Social\/Privacy<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Vision Applications<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">07:40\u201308:00 PT | Demonstration<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval<\/b><\/p>\r\nMark Hamilton, Lei Zhang, Bill Freeman, Marina Rogers, Darius Bopp, Johnny Bui, Margaret Wang, Mindren Lu, Zhenbang Chen, Christopher Hoder\r\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Reinforcement Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Chi Jin, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\r\n<em>Poster Session: December 8<\/em>\r\n\r\n<hr \/>\r\n\r\n09:00\u201311:00 PT | Poster Session 1\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/coinpress-practical-private-mean-and-covariance-estimation\/\"><b>CoinPress: Practical Private Mean and Covariance Estimation<\/b><\/a><\/p>\r\nSourav Biswas, <a href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<\/a>, Gautam Kamath, Jonathan Ullman\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cross-validation-confidence-intervals-for-test-error\/\"><b>Cross-validation Confidence Intervals for Test Error<\/b><\/a><\/p>\r\nPierre Bayle, Alexandre Bayle, Lucas Janson, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deep-reinforcement-and-infomax-learning\/\"><b>Deep Reinforcement and InfoMax Learning<\/b><\/a><\/p>\r\nBogdan Mazoure, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Thang Long DOAN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/phbachma\/\">Philip Bachman<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/devonh\/\">R Devon Hjelm<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/denoised-smoothing-a-provable-defense-for-pretrained-classifiers\/\"><b>Denoised Smoothing: A Provable Defense for Pretrained Classifiers<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Mingjie Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, J. Zico Kolter\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-contextual-bandits-with-continuous-actions\/\"><b>Efficient Contextual Bandits with Continuous Actions<\/b><\/a><\/p>\r\nMaryam Majzoubi, Chicheng Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ranaras\/\">Rajan Chari<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slivkins\/\">Aleksandrs Slivkins<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fairness-in-streaming-submodular-maximization-algorithms-and-hardness\/\"><b>Fairness in Streaming Submodular Maximization: Algorithms and Hardness<\/b><\/a><\/p>\r\nMarwa El Halabi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, Jakab Tardos, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps\/\"><b>FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, Sham Kakade, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Wen Sun<\/p>\r\n<em>Oral Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Learning Semantic-aware Normalization for Generative Adversarial Networks<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Heliang Zheng,<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\"> Jianlong Fu<\/a>, Yanhong Zeng, Zheng-Jun Zha, Jiebo Luo<\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Learning Structured Distributions From Untrusted Batches: Faster and Simpler<\/b><\/p>\r\nSitan Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Ankur Moitra\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-the-linear-quadratic-regulator-from-nonlinear-observations\/\"><b>Learning the Linear Quadratic Regulator from Nonlinear Observations<\/b><\/a><\/p>\r\nZakaria Mhammedi, Dylan Foster, Max Simchowitz, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dimisra\/\">Dipendra Misra<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Alexander Rakhlin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Wenhao Luo, Wen Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a><\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Network size and size of the weights in memorization with two-layers neural networks<\/b><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sebubeck\/\">Sebastien Bubeck<\/a>, Ronen Eldan, Yin Tat Lee, Dan Mikulincer\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-infinite-width-hypernetworks\/\"><b>On Infinite-Width Hypernetworks<\/b><\/a><\/p>\r\nEtai Littwin, Tomer Galanti, Lior Wolf, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/gregyang\/\">Greg Yang<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning\/\"><b>PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/mikael-henaff-628a9021\/\" target=\"_blank\" rel=\"noopener\">Mikael Henaff<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, Wen Sun\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/provably-adaptive-reinforcement-learning-in-metric-spaces\/\"><b>Provably adaptive reinforcement learning in metric spaces<\/b><\/a><\/p>\r\nTongyi Cao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pushing-the-limits-of-narrow-precision-inferencing-at-cloud-scale-with-microsoft-floating-point\/\"><b>Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/birouhan\/\">Bita Darvish Rouhani<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlo\/\">Daniel Lo<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/ritchie-zhao-47831a79\/\" target=\"_blank\" rel=\"noopener\">Ritchie Zhao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mliu\/\">Ming Liu<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfowers\/\">Jeremy Fowers<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kaovt\/\">Kalin Ovtcharov<\/a>, Anna Vinogradsky, <a href=\"https:\/\/www.linkedin.com\/in\/sarah-garrod-massengill-76262728\/\" target=\"_blank\" rel=\"noopener\">Sarah Massengill<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/yanglita\/\" target=\"_blank\" rel=\"noopener\">Lita Yang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raybit\/\">Ray Bittner<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sandrof\/\">Alessandro Forin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haishan-zhu\/\">Haishan Zhu<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/taesik-na\/\" target=\"_blank\" rel=\"noopener\">Taesik Na<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prepatel\/\">Prerak Patel<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/shuai-che-797a088\/\" target=\"_blank\" rel=\"noopener\">Shuai Che<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/lokchand\/\" target=\"_blank\" rel=\"noopener\">Lok Chand Koppaka<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stever\/\">Steve Reinhardt<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slanka\/\">Sitaram Lanka<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaso\/\">Xia Song<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/subhojitsom\/\" target=\"_blank\" rel=\"noopener\">Subhojit Som<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/kaustav-das-3563abb\/\" target=\"_blank\" rel=\"noopener\">Kaustav Das<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/saurabh-tiwary\/\" target=\"_blank\" rel=\"noopener\">Saurabh K T<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/erchung\/\">Eric Chung<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dburger\/\">Doug Burger<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>RepPoints v2: Verification Meets Regression for Object Detection<\/b><\/p>\r\nYihong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhez\/\">Zheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuecao\/\">Yue Cao<\/a>, Liwei Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stevelin\/\">Stephen Lin<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization<\/b><\/p>\r\nSam Hopkins, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Fred Zhang\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sample-efficient-reinforcement-learning-of-undercomplete-pomdps\/\"><b>Sample-Efficient Reinforcement Learning of Undercomplete POMDPs<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Chi Jin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akshaykr\/\">Akshay Krishnamurthy<\/a>, Qinghua Liu<\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-loca-regret-a-consistent-metric-to-evaluate-model-based-behavior-in-reinforcement-learning\/\"><b>The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/havansei\/\">Harm Van Seijen<\/a>, Hadi Nekoei, Evan Racah, Sarath Chandar\r\n\r\n<hr \/>\r\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Vision Applications<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">19:30\u201319:40 PT | Spotlight: Vision Applications<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">19:50\u201320:00 PT | Spotlight: Deep Learning\/Theory<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\r\n<em>Poster Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\">20:50\u201320:00 PT | Spotlight: Reinforcement Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\r\n<em>Poster Session: December 8<\/em>\r\n\r\n<hr \/>\r\n\r\n21:00\u201323:00 PT | Poster Session 2\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/do-adversarially-robust-imagenet-models-transfer-better\/\"><b>Do Adversarially Robust ImageNet Models Transfer Better?<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hasalman\/\">Hadi Salman<\/a>, Andrew Ilyas, Logan Engstrom, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akapoor\/\">Ashish Kapoor<\/a>, Aleksander Madry<\/p>\r\n<em>Oral Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>GreedyFool: Distortion-Aware Sparse Adversarial Attack<\/b><\/p>\r\nXiaoyi Dong, <a href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianbao\/\">Jianmin Bao<\/a>, Chuan Qin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/luyuan\/\">Lu Yuan<\/a>, Weiming Zhang, Nenghai Yu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/doch\/\">Dong Chen<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/large-scale-adversarial-training-for-vision-and-language-representation-learning\/\"><b>Large-Scale Adversarial Training for Vision-and-Language Representation Learning<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhgan\/\">Zhe Gan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yenche\/\">Yen-Chun Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/linjli\/\">Linjie Li<\/a>, Chen Zhu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yucheng1\/\">Yu Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingjl\/\">Jingjing Liu<\/a><\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/policy-improvement-via-imitation-of-multiple-oracles\/\"><b>Policy Improvement via Imitation of Multiple Oracles<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/akolobov\/\">Andrey Kolobov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\">Alekh Agarwal<\/a><\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rd2-reward-decompositionwith-representation-disentanglement\/\"><b>RD2: Reward Decomposition with Representation Disentanglement<\/b><\/a><\/p>\r\nZichuan Lin, Derek Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lizo\/\">Li Zhao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Guangwen Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time<\/b><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Guanghao Ye\r\n<p style=\"margin-bottom: 0px\"><b>Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Arun Jambulapati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jerrl\/\">Jerry Li<\/a>, Kevin Tian<\/p>\r\n<em>Spotlight Session: December 8<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Towards Interpretable Natural Language Understanding with Explanations as Latent Variables<\/b><\/p>\r\nWangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cxiong\/\">Chenyan Xiong<\/a>, Jian Tang [\/panel][panel header=\"Wednesday, December 9\"]\r\n<h2>Wednesday, December 9<\/h2>\r\n<p style=\"margin-bottom: 0px\">06:15\u201306:30 PT | Oral: COVID\/Applications\/Composition<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">07:00\u201307:10 PT | Spotlight: COVID\/Applications\/Composition<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">07:30\u201307:40 PT | Spotlight: Continual\/Meta\/Misc Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">07:50\u201308:00 PT | Spotlight: Deep Learning<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy\/\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">08:10\u201308:20 PT | Spotlight: Optimization<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n\r\n<hr \/>\r\n\r\n09:00\u201311:00 PT | Poster Session 3\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-causal-view-on-robustness-of-neural-networks\/\"><b>A Causal View on Robustness of Neural Networks<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ave-assistance-via-empowerment\/\"><b>AvE: Assistance via Empowerment<\/b><\/a><\/p>\r\nYuqing Du, Stas Tiomkin, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/emrek\/\">Emre Kiciman<\/a>, Daniel Polani, Pieter Abbeel, Anca Dragan\r\n<p style=\"margin-bottom: 0px\"><b>BERT Loses Patience: Fast and Robust Inference with Early Exit<\/b><\/p>\r\nWangchunshu Zhou, Canwen Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tage\/\">Tao Ge<\/a>, Julian McAuley, Ke Xu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fuwei\/\">Furu Wei<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compositional-generalization-by-learning-analytical-expressions\/\"><b>Compositional Generalization by Learning Analytical Expressions<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Qian Liu, Shengnan An, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jlou\/\">Jian-Guang Lou<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/beichen\/\">Bei Chen<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelin\/\">Zeqi Lin<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/yangao1\/\" target=\"_blank\" rel=\"noopener\">Yan Gao<\/a>, Bin Zhou, Nanning Zheng, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dongmeiz\/\">Dongmei Zhang<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/domain-adaptation-with-conditional-distribution-matching-and-generalized-label-shift\/\"><b>Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/retachet\/\">Remi Tachet des Combes<\/a>, Han Zhao, Yu-Xiang Wang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ggordon\/\">Geoffrey Gordon<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/efficient-algorithms-for-device-placement-of-dnn-graph-operators\/\"><b>Efficient Algorithms for Device Placement of DNN Graph Operators<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/amar\/\">Amar Phanishayee<\/a>, Nikhil Devanur, <a href=\"https:\/\/www.linkedin.com\/in\/mahajandivya\/\" target=\"_blank\" rel=\"noopener\">Divya Mahajan<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/fanny-nina-paravecino-64b22b57\/\" target=\"_blank\" rel=\"noopener\">Fanny Nina Paravecino<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games<\/b><\/p>\r\nArun Suggala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/geometric-dataset-distances-via-optimal-transport\/\"><b>Geometric Dataset Distances via Optimal Transport<\/b><\/a><\/p>\r\nDavid Alvarez Melis, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>How do fair decisions fare in long-term qualification?<\/b><\/p>\r\nXueru Zhang, Ruibo Tu, Yang Liu, mingyan liu, Hedvig Kjellstrom, Kun Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Edward Moroshko, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Blake Woodworth, Jason Lee, Nati Srebro, Daniel Soudry<\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-composable-energy-surrogates-for-pde-order-reduction\/\"><b>Learning Composable Energy Surrogates for PDE Order Reduction<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Alex Beatson, <a href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Geoffrey Roeder, Tianju Xue, Ryan Adams<\/p>\r\n<em>Oral Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Dheeraj Nagaraj, Xian Wu, Guy Bresler, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler<\/b><\/p>\r\nZhining Liu, Pengfei Wei, Jing Jiang, <a href=\"https:\/\/weicao1990.github.io\/\" target=\"_blank\" rel=\"noopener\">Wei Cao<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jibian\/\">Jiang Bian<\/a>, Yi Chang\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/minimax-estimation-of-conditional-moment-models\/\"><b>Minimax Estimation of Conditional Moment Models<\/b><\/a><\/p>\r\nNishanth Dikkala, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/glewis\/\">Greg Lewis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vasy\/\">Vasilis Syrgkanis<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-loss-landscape-of-adversarial-training-identifying-challenges-and-how-to-overcome-them\/\"><b>On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them<\/b><\/a><\/p>\r\nChen Liu, Mathieu Salzmann, Tao LIN, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ryoto\/\">Ryota Tomioka<\/a>, Sabine S\u00fcsstrunk\r\n<p style=\"margin-bottom: 0px\"><b>Statistical Optimal Transport posed as Learning Kernel Embedding<\/b><\/p>\r\nSaketha Nath Jagarlapudi, <a href=\"https:\/\/pratikjawanpuria.com\/\" target=\"_blank\" rel=\"noopener\">Pratik Kumar Jawanpuria<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>The Pitfalls of Simplicity Bias in Neural Networks<\/b><\/p>\r\n<a href=\"http:\/\/harshay.me\/\" target=\"_blank\" rel=\"noopener\">Harshay Shah<\/a>, Kaustav Tamuly, Aditi Raghunathan, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/uncertainty-self-training-few-shot-bert\/\"><b>Uncertainty-aware Self-training for Few-shot Text Classification<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/submukhe\/\">Subhabrata Mukherjee<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hassanam\/\">Ahmed Awadallah<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Zero-Resource Knowledge-Grounded Dialogue Generation<\/b><\/p>\r\nLinxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao\r\n\r\n<hr \/>\r\n<p style=\"margin-bottom: 0px\">19:10\u201319:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<\/a>, Yunhai Tong, <a href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">20:10\u201320:20 PT | Spotlight: Graph\/Meta Learning\/Software<\/p>\r\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\">20:20\u201320:30 PT | Spotlight: Vision Applications<\/p>\r\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\r\n<em>Poster Session: December 9<\/em>\r\n\r\n<hr \/>\r\n\r\n21:00\u201323:00 PT | Poster Session 4\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-matrix-chernoff-bound-for-markov-chains-and-its-application-to-co-occurrence-matrices\/\"><b>A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices<\/b><\/a><\/p>\r\nJiezhong Qiu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, Ben Liao, Richard Peng, Jie Tang\r\n<p style=\"margin-bottom: 0px\"><b>Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment<\/b><\/p>\r\n<a href=\"https:\/\/github.com\/govinda-kamath\" target=\"_blank\" rel=\"noopener\">Govinda Kamath<\/a>, Tavor Baharav, Ilan Shomorony\r\n<p style=\"margin-bottom: 0px\"><b>GAN Memory with No Forgetting<\/b><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chunyl\/\">Chunyuan Li<\/a>, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/online-influence-maximization-under-linear-threshold-model\/\"><b>Online Influence Maximization under Linear Threshold Model<\/b><\/a><\/p>\r\nShuai Li, Fang Kong, Kejie Tang, Qizhi Li, <b>Wei Chen<\/b>\r\n<p style=\"margin-bottom: 0px\"><b>RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder<\/b><\/p>\r\n<p style=\"margin-bottom: 0px\">Cheng Chi, <a href=\"https:\/\/www.linkedin.com\/in\/fangyun-wei-600001112\/\" target=\"_blank\" rel=\"noopener\">Fangyun Wei<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hanhu\/\">Han Hu<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><b><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rnnpool-efficient-non-linear-pooling-for-ram-constrained-inference\/\">RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference<\/a><\/b><\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.linkedin.com\/in\/oindrila-saha\/\" target=\"_blank\" rel=\"noopener\">Oindrila Saha<\/a>, Venkata Aditya Kusupati, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harshasi\/\">Harsha Vardhan Simhadri<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\">Manik Varma<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting\/\"><b>Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, <a href=\"https:\/\/www.linkedin.com\/in\/xia-zhu-b853b420\/\" target=\"_blank\" rel=\"noopener\">Xia Zhu<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/congrui-huang-4b13ba20\/\" target=\"_blank\" rel=\"noopener\">Congrui Huang<\/a>, Yunhai Tong, <a href=\"https:\/\/www.linkedin.com\/in\/bixiong-xu-b82b1514\/\" target=\"_blank\" rel=\"noopener\">Bixiong Xu<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/jing-bai-31abb08\/\" target=\"_blank\" rel=\"noopener\">Jing Bai<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/jietong-ms\/\" target=\"_blank\" rel=\"noopener\">Jie Tong<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/qi-zhang-7a81311a\/\" target=\"_blank\" rel=\"noopener\">Qi Zhang<\/a><\/p>\r\n<em>Spotlight Session: December 9<\/em> [\/panel][panel header=\"Thursday, December 10\"]\r\n<h2>Thursday, December 10<\/h2>\r\n<p style=\"margin-bottom: 0px\">07:10\u201307:20 PT | Spotlight: Optimization<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\r\n<em>Poster Session: December 10<\/em>\r\n<p style=\"margin-bottom: 0px\">08:20\u201308:30 PT | Spotlight: Graph\/Relational\/Theory<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\r\n<em>Poster Session: December 10<\/em>\r\n\r\n<hr \/>\r\n\r\n09:00\u201311:00 PT | Poster Session 5\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/beyond-perturbations-learning-guarantees-with-arbitrary-adversarial-test-examples\/\"><b>Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Shafi Goldwasser, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Tauman Kalai<\/a>, Yael Kalai, Omar Montasser<\/p>\r\n<em>Spotlight Session: December 10<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/copt-coordinated-optimal-transport-on-graphs\/\"><b>COPT: Coordinated Optimal Transport on Graphs<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.linkedin.com\/in\/yihedong\/\" target=\"_blank\" rel=\"noopener\">Yihe Dong<\/a>, Will Sawin\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/empirical-likelihood-for-contextual-bandits\/\"><b>Empirical Likelihood for Contextual Bandits<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pmineiro\/\">Paul Mineiro<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nikosk\/\">Nikos Karampatziakis<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/implicit-regularization-and-convergence-for-weight-normalization\/\"><b>Implicit Regularization and Convergence for Weight Normalization<\/b><\/a><\/p>\r\nXiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/suriyag\/\">Suriya Gunasekar<\/a>, Rachel Ward, Qiang Liu\r\n<p style=\"margin-bottom: 0px\"><b>On the Expressiveness of Approximate Inference in Bayesian Neural Networks<\/b><\/p>\r\nAndrew Foong, David Burt, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, Richard E Turner\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-warm-starting-neural-network-training\/\"><b>On Warm-Starting Neural Network Training<\/b><\/a><\/p>\r\n<a href=\"http:\/\/www.jordantash.com\/\" target=\"_blank\" rel=\"noopener\">Jordan Ash<\/a>, Ryan Adams\r\n<p style=\"margin-bottom: 0px\"><b>VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data<\/b><\/p>\r\nChao Ma, Sebastian Tschiatschek, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>\r\n\r\n<hr \/>\r\n<p style=\"margin-bottom: 0px\">18:30\u201318:45 PT | Oral: Optimization<\/p>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\r\n<em>Poster Session: December 10<\/em>\r\n\r\n<hr \/>\r\n\r\n21:00\u201323:00 PT | Poster Session 6\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping\/\"><b>Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuxhe\/\">Yuxiong He<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/adatune-adaptive-tensor-program-compilation-made-efficient\/\"><b>AdaTune: Adaptive Tensor Program Compilation Made Efficient<\/b><\/a><\/p>\r\n<a href=\"https:\/\/www.linkedin.com\/in\/%E6%A2%A6%E5%A5%BD-%E6%9D%8E-194a701b8\/\" target=\"_blank\" rel=\"noopener\">Menghao Li<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chiw\/\">Chi Wang<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/mingqin-%E6%9D%8E%E6%98%8E%E7%90%B4-b017b41a\/\" target=\"_blank\" rel=\"noopener\">Mingqin Li<\/a>\r\n<p style=\"margin-bottom: 0px\"><b>Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search<\/b><\/p>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hopeng\/\">Houwen Peng<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/hao-du-a1847595\/\" target=\"_blank\" rel=\"noopener\">Hao Du<\/a>, Hongyuan Yu, QI LI, Jing Liao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jianf\/\">Jianlong Fu<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disentangling-human-error-from-the-ground-truth-in-segmentation-of-medical-images\/\"><b>Disentangling Human Error from Ground Truth in Segmentation of Medical Images<\/b><\/a><\/p>\r\nLe Zhang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rytanno\/\">Ryutaro Tanno<\/a>, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fully-dynamic-algorithm-for-constrained-submodular-optimization\/\"><b>Fully Dynamic Algorithm for Constrained Submodular Optimization<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Silvio Lattanzi, Slobodan Mitrovi\u0107, Ashkan Norouzi-Fard, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jatarnaw\/\">Jakub Tarnawski<\/a>, Morteza Zadimoghaddam<\/p>\r\n<em>Oral Session: December 10<\/em>\r\n<p style=\"margin-bottom: 0px\"><b>Graph Policy Network for Transferable Active Learning on Graphs<\/b><\/p>\r\nShengding Hu, Zheng Xiong, Meng Qu, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi Yuan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre C\u00f4t\u00e9<\/a>, Zhiyuan Liu, Jian Tang\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hm-ann-efficient-billion-point-nearest-neighbor-search-on-heterogeneous-memory\/\"><b>HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory<\/b><\/a><\/p>\r\nJie Ren, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/minjiaz\/\">Minjia Zhang<\/a>, Dong Li\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/impatientcapsandruns-approximately-optimal-algorithm-configuration-from-an-infinite-pool\/\"><b>ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool<\/b><\/a><\/p>\r\nGellert Weisz, Andr\u00e1s Gy\u00f6rgy, Wei-I Lin, Devon Graham, Kevin Leyton-Brown, Csaba Szepesvari, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/brlucier\/\">Brendan Lucier<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/intra-order-preserving-functions-for-calibration-of-multi-class-neural-networks\/\"><b>Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks<\/b><\/a><\/p>\r\nAmir Rahimi, Amirreza Shaban, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chinganc\/\">Ching-An Cheng<\/a>, Richard I Hartley, Byron Boots\r\n<p style=\"margin-bottom: 0px\"><b>Passport-aware Normalization for Deep Model Protection<\/b><\/p>\r\nJie Zhang, <a href=\"https:\/\/www.linkedin.com\/in\/dongdong-chen-90a944b9\/\" target=\"_blank\" rel=\"noopener\">Dongdong Chen<\/a>, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/projection-efficient-subgradient-method-and-optimal-nonsmooth-frank-wolfe-method\/\"><b>Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method<\/b><\/a><\/p>\r\n<p style=\"margin-bottom: 0px\">Kiran Thekumparampil, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\">Prateek Jain<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Sewoong Oh<\/p>\r\n<em>Spotlight Session: December 10<\/em>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/semi-supervised-neural-architecture-search\/\"><b>Semi-Supervised Neural Architecture Search<\/b><\/a><\/p>\r\nRenqian Luo, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xuta\/\">Xu Tan<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/wangruicmu\/\" target=\"_blank\" rel=\"noopener\">Rui Wang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Enhong Chen, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\">Tie-Yan Liu<\/a>\r\n<p style=\"margin-bottom: 0px\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/stochastic-stein-discrepancies\/\"><b>Stochastic Stein Discrepancies<\/b><\/a><\/p>\r\nJackson Gorham, Anant Raj, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a> [\/panel][\/accordion]"},{"id":3,"name":"Tutorials & Workshops","content":"<h2>Sunday, December 6<\/h2>\r\n10:00 PT | Workshop\r\n<strong>Real World RL with Vowpal Wabbit: Beyond Contextual Bandits<\/strong>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jaalber\/\">Jacob Alber<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/raaboulh\/\">Rafah Hosn<\/a>\r\n\r\n14:00 PT | Talk\r\n<strong>The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems<\/strong>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a>\r\n\r\n<hr \/>\r\n\r\n<h2>Monday, December 7<\/h2>\r\n06:00 \u2013 12:30 PT | Workshop\r\n<a href=\"https:\/\/blackinai2020.vercel.app\/\" target=\"_blank\" rel=\"noopener\"><strong>Black in AI<\/strong><\/a>\r\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>\r\n\r\n08:00\u201310:30 PT | Tutorial\r\n<b>Advances in Approximate Inference<\/b>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yingzli\/\">Yingzhen Li<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>\r\n\r\n<hr \/>\r\n\r\n<h2>Tuesday, December 8<\/h2>\r\n12:00\u201316:00 PT | Symposium\r\n<a href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 1<\/strong><\/a>\r\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie\r\n\r\n<hr \/>\r\n\r\n<h2>Wednesday, December 9<\/h2>\r\n01:40 \u2013 18:00 PT | Workshop\r\n<a href=\"https:\/\/wimlworkshop.org\/neurips2020\/\" target=\"_blank\" rel=\"noopener\"><strong>Women in Machine Learning<\/strong><\/a>\r\nDiversity &amp; Inclusion Co-chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>\r\nArea Chair: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/\">Besmira Nushi<\/a>\r\nMentorship Roundtable Hosts: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/\">Chris Bishop<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/epierson\/\">Emma Pierson<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\">Jenn Wortman Vaughan<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kate\/\">Kate Crawford<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\">Nicolo Fusi<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/skakade\/\">Sham Kakade<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sdumais\/\">Susan Dumais<\/a>\r\n\r\n12:00\u201316:00 PT | Symposium\r\n<a href=\"https:\/\/covid19neurips2020.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>COVID-19 Symposium Day 2<\/strong><\/a>\r\nAndrew Beam, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>, Katherine Heller, Elaine Nsoesie\r\n\r\n<hr \/>\r\n\r\n<h2>Friday, December 11<\/h2>\r\n06:50\u201316:50 PT | Workshop\r\n<a href=\"https:\/\/www.cmu.edu\/dietrich\/causality\/neurips20ws\/\" target=\"_blank\" rel=\"noopener\"><b>Causal Discovery and Causality-Inspired Machine Learning<\/b><\/a>\r\nBiwei\u00a0Huang,\u00a0Sara\u00a0Magliacane,\u00a0Kun\u00a0Zhang,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Elias\u00a0Bareinboim,\u00a0Daniel Malinsky,\u00a0Thomas Richardson,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/meek\/\">Christopher Meek<\/a>,\u00a0Peter\u00a0Spirtes,\u00a0Bernhard\u00a0Sch\u00f6lkopf\r\n\r\n06:00\u201316:20 PT | Workshop\r\n<a href=\"https:\/\/ml4health.github.io\/2020\/\" target=\"_blank\" rel=\"noopener\"><b>Machine Learning for Health: Advancing Healthcare for All<\/b><\/a>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>,\u00a0Emily\u00a0Alsentzer,\u00a0Andrew Beam,\u00a0Brett Beaulieu-Jones,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Allen Schmaltz,\u00a0Irene Y Chen,\u00a0Anna Goldenberg,\u00a0Matthew McDermott,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>,\u00a0Charles\u00a0Onu\r\n\r\n08:30\u201321:00 PT | Workshop\r\n<b><a href=\"https:\/\/ml-retrospectives.github.io\/neurips2020\/\" target=\"_blank\" rel=\"noopener\">ML Retrospectives, Surveys &amp; meta-Analyses<\/a>\u00a0<\/b>\r\nChhavi\u00a0Yadav,\u00a0Prabhu Pradhan,\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/abhishekgupta19\/\" target=\"_blank\" rel=\"noopener\">Abhishek Gupta<\/a>,\u00a0Ryan Lowe,\u00a0Peter Henderson,\u00a0Jessica Forde Jessica Forde,\u00a0Mayoore\u00a0Jaiswal,\u00a0Jesse Dodge\r\n\r\n<hr \/>\r\n\r\n<h2>Saturday, December 12<\/h2>\r\n<strong>Machine Learning For Systems<\/strong> | Workshop\r\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/resonance-replacing-software-constants-with-context-aware-models-in-real-time-communication\/\">Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication<\/a>\r\n<strong>Jayant Gupchup<\/strong>, <strong>Ashkan Aazami<\/strong>, <strong>Yaran Fan<\/strong>, <strong>Senja Filipi<\/strong>, <strong>Tom Finley<\/strong>, <strong>Scott Inglis<\/strong>, <strong>Marcus Asteborg<\/strong>, <strong>Luke Caroll<\/strong>, <strong>Rajan Chari<\/strong>, <strong>Markus Cozowicz<\/strong>, <strong>Vishak Gopal<\/strong>, <strong>Vinod Prakash<\/strong>, <strong>Sasikanth Bendapudi<\/strong>, <strong>Jack Gerrits<\/strong>, <strong>Eric Lau<\/strong>, <strong>Huazhou Liu<\/strong>, <strong>Marco Rossi<\/strong>, <strong>Dima Slobodianyk<\/strong>, <strong>Dmitri Birjukov<\/strong>, <strong>Matty Cooper<\/strong>, <strong>Nilesh Javar<\/strong>, <strong>Dmitriy Perednya<\/strong>, <strong>Sriram Srinivasan<\/strong>, <strong>John Langford<\/strong>, <strong>Ross Cutler<\/strong>, <strong>Johannes Gehrke<\/strong>\r\n\r\n04:45\u201314:45 PT | Workshop\r\n<a href=\"https:\/\/i-cant-believe-its-not-better.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>I Can\u2019t Believe it is Not Better: Bridging the Gap between Theory and Empiricism in Probabilistic Machine Learning<\/strong><\/a>\r\nJessica Zosa Forde, Francisco Ruiz, <a href=\"https:\/\/melaniefp.github.io\/\" target=\"_blank\" rel=\"noopener\">Melanie F. Pradier<\/a>, Aaron Schein, Finale Doshi-Velez, David Blei, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\">Hanna Wallach<\/a>\r\n\r\n05:20\u201312:55 PT | Workshop\r\n<a href=\"https:\/\/www.cooperativeai.com\/\" target=\"_blank\" rel=\"noopener\"><b>Cooperative AI<\/b><\/a>\r\nThore\u00a0Graepel,\u00a0Dario\u00a0Amodei,\u00a0Vincent\u00a0Conitzer,\u00a0Allan Dafoe,\u00a0Gillian Hadfield,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\">Eric Horvitz<\/a>,\u00a0Sarit Kraus,\u00a0Kate Larson,\u00a0Yoram Bachrach\r\n\r\n05:30\u201315:00 PT | Workshop\r\n<a href=\"https:\/\/nbiair.com\/\" target=\"_blank\" rel=\"noopener\"><b>Navigating the Broader Impacts of AI Research<\/b><\/a>\r\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/overcoming-failures-of-imagination-in-ai-infused-system-development-and-deployment\/\">Overcoming Failures of Imagination in AI Infused System Development and Deployment<\/a>\r\nCarolyn Ashurst,\u00a0Rosie Campbell,\u00a0Deborah Raji,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/solon\/\">Solon Barocas<\/a>,\u00a0Stuart Russell\r\n\r\n06:00\u201315:00 PT | Workshop\r\n<a href=\"https:\/\/wordplay-workshop.github.io\/\" target=\"_blank\" rel=\"noopener\"><b>Wordplay: When Language Meets Games<\/b><\/a>\r\nPrithviraj\u00a0Ammanabrolu,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mahauskn\/\">Matthew Hausknecht<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eryua\/\">Xingdi\u00a0Yuan<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/macote\/\">Marc-Alexandre\u00a0C\u00f4t\u00e9<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adtrisch\/\">Adam Trischler<\/a>, Kory Mathewson, John\u00a0Urbanek,\u00a0Jason Weston,\u00a0Mark\u00a0Riedl\r\n\r\n08:50\u201318:40 PT | Workshop\r\n<a href=\"https:\/\/sslneuips20.github.io\/pages\/Accepted%20Paper.html\" target=\"_blank\" rel=\"noopener\"><strong>Self-Supervised Learning \u2013 Theory and Practice<\/strong><\/a>\r\nAccepted paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/make-lead-bias-in-your-favor-zero-shot-abstractive-news-summarization\/\">Make Lead Bias in Your Favor: Zero-shot Abstractive News Summarization<\/a>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezhu\/\">Chenguang Zhu<\/a>, Ziyi Yang, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rogmyr\/\">Robert Gmyr<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nzeng\/\">Michael Zeng<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xdh\/\">Xuedong Huang<\/a>"},{"id":4,"name":"Competitions","content":"<h2>Competitions<\/h2>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/diagnostic-questions\/\"><b>Diagnostic Questions: Predicting Student Responses and Measuring Question Quality<\/b><\/a>\r\nSimon Woodhead, Craig Barton, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Richard Turner, Jack Wang, Richard G. Baraniuk, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-anlam\/\">Angus Lamb<\/a>,\u00a0Evgeny\u00a0Saveliev,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pacamero\/\">Pashmina Cameron<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yordanz\/\">Yordan Zaykov<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/simonpj\/\">Simon Peyton-Jones<\/a>,\u00a0<a href=\"mailto:%20edu_competition@outlook.com\">Cheng Zhang<\/a>\r\n\r\n<a href=\"https:\/\/efficientqa.github.io\/\" target=\"_blank\" rel=\"noopener\"><strong>Efficient Open-Domain Question Answering<\/strong><\/a>\r\n<strong>Hao Cheng<\/strong>, <strong>Yelong Shen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaodl\/\">Xiaodong Liu<\/a>, <strong>Pengcheng He<\/strong>, <strong>Weizhu Chen<\/strong>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\">Jianfeng Gao<\/a>\r\n<em>*First place in the Efficient Open-Domain Question Answering unrestrictive track<\/em>\r\n\r\n<a href=\"https:\/\/www.vanderschaar-lab.com\/privacy-challenge\/\" target=\"_blank\" rel=\"noopener\"><b>Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification with Clinical Time-series Data<\/b> <\/a>\r\nJames Jordon, Daniel Jarrett, Jinsung Yoon, Paul Elbers, Patrick Thoral, Ari Ercole, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chezha\/\">Cheng Zhang<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dabelgra\/\">Danielle Belgrave<\/a>,\u00a0Mihaela van der Schaar, Nick Maxfield"},{"id":5,"name":"Webinars","content":"Discover more about work accepted at NeurIPS 2020 in these webinars presented by Microsoft Research. Join these experts as they present their research in practical tutorials and answer questions afterwards in a live Q&amp;A. All presentations and live Q&amp;A sessions are recorded and will be available on demand.\r\n\r\nTo learn more about the webinars and for registration, click \u201cregister\u201d below. See our full list of offerings at the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/webinar\/\">Microsoft Research Webinars<\/a> homepage.\r\n<div style=\"height: 20px\"><\/div>\r\n[row][column class=\"m-col-12-24\"]<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-705745 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_DoWhy_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Amit Sharma and Emre Kiciman headshot appears next to their webinar title, causal inference\" width=\"1024\" height=\"576\" \/><\/a>\r\n<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Foundations of causal inference and its impacts on machine learning<\/strong><\/a>\r\n\r\nDecember 3, 2020 | 08:00 AM (PT)\r\n<div>[msr-button text=\"Register\" url=\"https:\/\/note.microsoft.com\/MSR-Webinar-DoWhy-Library-Registration-Live.html\" new-window=\"true\" ]<\/div>\r\n[\/column]\r\n[column class=\"m-col-12-24\"]<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-705436 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/MSR_Daniel_McDuff_Xin_Liu_Webinar_Hero_1400x788-1024x576.jpg\" alt=\"Daniel McDuff and Xin Lui's headshot appears next to their webinar title, camera based health sensing\" width=\"1024\" height=\"576\" \/><\/a>\r\n<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-Live.html\" target=\"_blank\" rel=\"noopener\"><strong>Camera-based non-contact health sensing<\/strong><\/a>\r\n\r\nAvailable on-demand\r\n<div>[msr-button text=\"Register\" url=\"https:\/\/note.microsoft.com\/MSR-Webinar-Health-Sensing-Registration-On-Demand.html\" new-window=\"true\" ]<\/div>\r\n[\/column][\/row]\r\n[row][column class=\"m-col-12-24\"]<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-676803 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/07\/MSR_MarkHamilton_Webinar_Hero_1400x788.png\" alt=\"Mark Hamilton's headshot appears next to his Microsoft Research webinar title, Discovering hidden connections in art with deep, interpretable visual analogies\" width=\"1024\" height=\"576\" \/><\/a>\r\n<a href=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" target=\"_blank\" rel=\"noopener\"><strong>Discovering hidden connections in art with deep, interpretable visual analogies<\/strong><\/a>\r\n\r\nAvailable on-demand\r\n<div>[msr-button text=\"Register\" url=\"https:\/\/note.microsoft.com\/MSR-Webinar-Visual-Analogies-Registration-On-Demand.html\" new-window=\"true\" ]<\/div>\r\n[\/column][column class=\"m-col-12-24\"][\/column][\/row]"},{"id":6,"name":"#AlchemyFriends","content":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\">Print your own copy<\/a> of Alchemy with Friends to play at home.\r\n\r\nShare your favorite card combinations using #AlchemyFriends on Twitter, Facebook, or Instagram. We now have three versions of the game available for you to play at home!\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\"><img class=\"alignnone size-full wp-image-626472\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/09\/MSR_Alchemy_1400x788.gif\" alt=\"Animated illustration of how to play #AlchemyFriends\" width=\"1400\" height=\"788\" \/><\/a>\r\n<div>\r\n<div>[msr-button text=\"Alchemy with Friends Original (must have this deck)\" url=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/Alchemy-with-Friends-Print-at-Home-2020.pdf\" new-window=\"true\" ]<\/div>\r\n<div>[msr-button text=\"Alchemy with Friends ML Expansion Pack\" url=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-ML-Expansion-Pack.pdf\" new-window=\"true\" ]<\/div>\r\n<div>[msr-button text=\"Alchemy with Friends CV Expansion Pack\" url=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/06\/Alchemy-with-Friends-CV-Expansion-Pack.pdf\" new-window=\"true\" ]<\/div>\r\n<\/div>\r\n<div style=\"height: 20px\"><\/div>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.facebook.com\/microsoftresearch\/\" target=\"_blank\" rel=\"noopener\">Facebook<\/a>: MicrosoftResearch<\/li>\r\n \t<li><a href=\"https:\/\/x.com\/MSFTResearch\" target=\"_blank\" rel=\"noopener\">Twitter:<\/a> @MSFTResearch<\/li>\r\n \t<li><a href=\"https:\/\/www.youtube.com\/user\/MicrosoftResearch\" target=\"_blank\" rel=\"noopener\">YouTube<\/a>: microsoftresearch<\/li>\r\n \t<li><a href=\"https:\/\/aka.ms\/LinkedInMSR\" target=\"_blank\" rel=\"noopener\">LinkedIn<\/a>: aka.ms\/LinkedInMSR<\/li>\r\n \t<li><a href=\"https:\/\/www.instagram.com\/msft_research\/\" target=\"_blank\" rel=\"noopener\">Instagram<\/a>: @msft_research<\/li>\r\n<\/ul>"}],"msr_startdate":"2020-12-06","msr_enddate":"2020-12-12","msr_event_time":"","msr_location":"Virtual","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"December 6, 2020","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-960x540.png\" class=\"img-object-cover\" alt=\"illustrated icons related to artificial intelligence for Microsoft&#039;s involvement at NeurIPS 2020\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1920x720_Event_Page_Banner-1920x1080.png 1920w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","event_excerpt":"Microsoft is delighted to sponsor and attend NeurIPS 2020, the largest machine learning conference of the year. Microsoft will showcase state-of-the-art research with over 100 co-authored papers, as well as participation in a variety of workshops, tutorials and competitions. If you are attending NeurIPS 2020, we encourage you to stop by our virtual booth to chat with our experts, see demos of our latest research, and find out about career opportunities with Microsoft. In addition&hellip;","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[703219],"related-opportunities":[],"related-publications":[705250,701698,701842,701848,701854,704830,704938,704950,705010,701692,705262,705331,707080,708919,710098,710446,740779,699718,670419,677100,677136,692796,693147,699694,699700,699706,643860,699730,700012,700030,700315,701170,701674,701680,701686],"related-videos":[],"related-posts":[683157,707875,708208,708913,709066,710536,711436,723253],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/708199","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":8,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/708199\/revisions"}],"predecessor-version":[{"id":1146914,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/708199\/revisions\/1146914"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/706486"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=708199"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=708199"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=708199"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=708199"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=708199"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=708199"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=708199"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=708199"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=708199"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}