{"id":559683,"date":"2019-02-22T11:27:43","date_gmt":"2019-02-22T19:27:43","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=559683"},"modified":"2025-08-06T11:56:33","modified_gmt":"2025-08-06T18:56:33","slug":"ai-institute-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/ai-institute-2019\/","title":{"rendered":"AI Institute \u201cGeometry of Deep Learning\u201d 2019"},"content":{"rendered":"\n\n

Venue:<\/strong> Microsoft Research Redmond<\/a>
\nBuilding 99
\n14820 NE 36th St
\nRedmond, WA 98052<\/p>\n

Contact:<\/strong>\u00a0For event questions, please contact\u00a0msrevent@microsoft.com<\/a>Opens in a new tab<\/span><\/p>\n

Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as exemplified by time-consuming hyperparameters optimization, or the extraordinary difficulties encountered in adversarial machine learning. Our three-day workshop stems on what we identify as the current main bottleneck: understanding the geometrical structure of deep neural networks. This problem is at the confluence of mathematics, computer science, and practical machine learning. We invite the leaders in these fields to bolster new collaborations and to look for new angles of attack on the mysteries of deep learning.<\/p>\n

Keynotes<\/h3>\n

Peter Bartlett, University of California at Berkeley
\nLeon Bottou, Facebook
\nAnna Gilbert, University of Michigan
\nPiotr Indyk, MIT
\nS. T. Yau, Harvard<\/p>\n

Invited Speakers<\/h3>\n

Emmanuel Abbe
\nNina Balcan
\nCostis Daskalakis
\nRong Ge
\nSuriya Gunasekar
\nDaniel Hsu
\nYuanzhi Li
\nTengyu Ma
\nAleksander Madry
\nAndrea Montanari
\nSasha Rakhlin
\nMahdi Soltanolkotabi
\nSuvrit Sra
\nNati Srebro
\nSoledad Villar<\/p>\n

Program Committee members<\/h3>\n

S\u00e9bastien Bubeck <\/a>
\nIlya Razenshteyn<\/a>
\nAdith Swaminathan<\/a>
\nGreg Yang<\/a>
\nPengchuan Zhang<\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Day 1 | Monday, August 26<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nPeter Bartlett, University of California at Berkeley | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCo\ufb00ee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nDaniel Hsu, Columbia University; Andrea Montanari, Stanford University; Sasha Rakhlin, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
2:00 PM\u20133:00 PM<\/td>\nLeon Bottou, Facebook | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:00 PM\u20134:00 PM<\/td>\nTea time<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20135:30 PM<\/td>\nEmmanuel Abbe, Princeton and EPFL; Mahdi Soltanolkotabi, University of Southern California; Nati Srebro, TTI-C | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Day 2 | Tuesday, August 27<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nS. T. Yau, Harvard | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCoffee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nNina Balcan, CMU; Costis Daskalakis, MIT; Tengyu Ma, Stanford University | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
2:00 PM\u20133:00 PM<\/td>\nAnna Gilbert, University of Michigan | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:00 PM\u20134:00 PM<\/td>\nTea time<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20135:30 PM<\/td>\nSuriya Gunasekar, TTI-C; Aleksander Madry, MIT; Soledad Villar, NYU | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
6:00 PM\u201310:00 PM<\/td>\nAn evening reception at the Chihuly Museum<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Day 3 | Wednesday, August 28<\/h2>\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nPiotr Indyk, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCoffee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nRong Ge, Duke; Yuanzhi Li, CMU; Suvrit Sra, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Our three-day workshop in Redmond, Washington stems on what we identify as the current main bottleneck: understanding the geometrical structure of deep neural networks. <\/p>\n","protected":false},"featured_media":493919,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-08-26","msr_enddate":"2019-08-28","msr_location":"Redmond, Washington, USA","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":[197900],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[243727,243724],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-559683","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-hosted-by-microsoft","msr-locale-en_us","msr-program-audience-faculty","msr-program-audience-students"],"msr_about":"\n\n

Venue:<\/strong> Microsoft Research Redmond<\/a>
\nBuilding 99
\n14820 NE 36th St
\nRedmond, WA 98052<\/p>\n

Contact:<\/strong>\u00a0For event questions, please contact\u00a0msrevent@microsoft.com<\/a>Opens in a new tab<\/span><\/p>\n

Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as exemplified by time-consuming hyperparameters optimization, or the extraordinary difficulties encountered in adversarial machine learning. Our three-day workshop stems on what we identify as the current main bottleneck: understanding the geometrical structure of deep neural networks. This problem is at the confluence of mathematics, computer science, and practical machine learning. We invite the leaders in these fields to bolster new collaborations and to look for new angles of attack on the mysteries of deep learning.<\/p>\n

Keynotes<\/h3>\n

Peter Bartlett, University of California at Berkeley
\nLeon Bottou, Facebook
\nAnna Gilbert, University of Michigan
\nPiotr Indyk, MIT
\nS. T. Yau, Harvard<\/p>\n

Invited Speakers<\/h3>\n

Emmanuel Abbe
\nNina Balcan
\nCostis Daskalakis
\nRong Ge
\nSuriya Gunasekar
\nDaniel Hsu
\nYuanzhi Li
\nTengyu Ma
\nAleksander Madry
\nAndrea Montanari
\nSasha Rakhlin
\nMahdi Soltanolkotabi
\nSuvrit Sra
\nNati Srebro
\nSoledad Villar<\/p>\n

Program Committee members<\/h3>\n

S\u00e9bastien Bubeck <\/a>
\nIlya Razenshteyn<\/a>
\nAdith Swaminathan<\/a>
\nGreg Yang<\/a>
\nPengchuan Zhang<\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Day 1 | Monday, August 26<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nPeter Bartlett, University of California at Berkeley | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCo\ufb00ee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nDaniel Hsu, Columbia University; Andrea Montanari, Stanford University; Sasha Rakhlin, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
2:00 PM\u20133:00 PM<\/td>\nLeon Bottou, Facebook | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:00 PM\u20134:00 PM<\/td>\nTea time<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20135:30 PM<\/td>\nEmmanuel Abbe, Princeton and EPFL; Mahdi Soltanolkotabi, University of Southern California; Nati Srebro, TTI-C | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Day 2 | Tuesday, August 27<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nS. T. Yau, Harvard | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCoffee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nNina Balcan, CMU; Costis Daskalakis, MIT; Tengyu Ma, Stanford University | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
2:00 PM\u20133:00 PM<\/td>\nAnna Gilbert, University of Michigan | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:00 PM\u20134:00 PM<\/td>\nTea time<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20135:30 PM<\/td>\nSuriya Gunasekar, TTI-C; Aleksander Madry, MIT; Soledad Villar, NYU | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
6:00 PM\u201310:00 PM<\/td>\nAn evening reception at the Chihuly Museum<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Day 3 | Wednesday, August 28<\/h2>\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:15 AM\u20139:00 AM<\/td>\nBreakfast<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:00 AM\u201310:00 AM<\/td>\nPiotr Indyk, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10:00 AM\u201311:00 AM<\/td>\nCoffee break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
11:00 AM\u201312:30 PM<\/td>\nRong Ge, Duke; Yuanzhi Li, CMU; Suvrit Sra, MIT | video<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n
12:30 PM\u20132:00 PM<\/td>\nLunch break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as exemplified by time-consuming hyperparameters optimization, or the extraordinary difficulties encountered in adversarial machine learning. Our three-day workshop stems on what we identify as the current main bottleneck: understanding the geometrical structure of deep neural networks. This problem is at the confluence of mathematics, computer science, and practical machine learning. We invite the leaders in these fields to bolster new collaborations and to look for new angles of attack on the mysteries of deep learning.\r\n

Keynotes<\/h3>\r\n

Peter Bartlett, University of California at Berkeley\r\nLeon Bottou, Facebook\r\nAnna Gilbert, University of Michigan\r\nPiotr Indyk, MIT\r\nS. T. Yau, Harvard<\/p>\r\n\r\n

Invited Speakers<\/h3>\r\n

Emmanuel Abbe\r\nNina Balcan\r\nCostis Daskalakis\r\nRong Ge\r\nSuriya Gunasekar\r\nDaniel Hsu\r\nYuanzhi Li\r\nTengyu Ma\r\nAleksander Madry\r\nAndrea Montanari\r\nSasha Rakhlin\r\nMahdi Soltanolkotabi\r\nSuvrit Sra\r\nNati Srebro\r\nSoledad Villar<\/p>\r\n\r\n

Program Committee members<\/h3>\r\n

S\u00e9bastien Bubeck <\/a>\r\nIlya Razenshteyn<\/a>\r\nAdith Swaminathan<\/a>\r\nGreg Yang<\/a>\r\nPengchuan Zhang<\/a><\/p>"},{"id":1,"name":"Agenda","content":"

Day 1 | Monday, August 26<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/td>\r\nSession<\/strong><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
8:15 AM\u20139:00 AM<\/td>\r\nBreakfast<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
9:00 AM\u201310:00 AM<\/td>\r\nPeter Bartlett, University of California at Berkeley | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
10:00 AM\u201311:00 AM<\/td>\r\nCo\ufb00ee break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
11:00 AM\u201312:30 PM<\/td>\r\nDaniel Hsu, Columbia University; Andrea Montanari, Stanford University; Sasha Rakhlin, MIT | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
12:30 PM\u20132:00 PM<\/td>\r\nLunch break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
2:00 PM\u20133:00 PM<\/td>\r\nLeon Bottou, Facebook | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
3:00 PM\u20134:00 PM<\/td>\r\nTea time<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
4:00 PM\u20135:30 PM<\/td>\r\nEmmanuel Abbe, Princeton and EPFL; Mahdi Soltanolkotabi, University of Southern California; Nati Srebro, TTI-C | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
<\/div>\r\n

Day 2 | Tuesday, August 27<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/td>\r\nSession<\/strong><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
8:15 AM\u20139:00 AM<\/td>\r\nBreakfast<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
9:00 AM\u201310:00 AM<\/td>\r\nS. T. Yau, Harvard | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
10:00 AM\u201311:00 AM<\/td>\r\nCoffee break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
11:00 AM\u201312:30 PM<\/td>\r\nNina Balcan, CMU; Costis Daskalakis, MIT; Tengyu Ma, Stanford University | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
12:30 PM\u20132:00 PM<\/td>\r\nLunch break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
2:00 PM\u20133:00 PM<\/td>\r\nAnna Gilbert, University of Michigan | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
3:00 PM\u20134:00 PM<\/td>\r\nTea time<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
4:00 PM\u20135:30 PM<\/td>\r\nSuriya Gunasekar, TTI-C; Aleksander Madry, MIT; Soledad Villar, NYU | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
6:00 PM\u201310:00 PM<\/td>\r\nAn evening reception at the Chihuly Museum<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
<\/div>\r\n

Day 3 | Wednesday, August 28<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/td>\r\nSession<\/strong><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
8:15 AM\u20139:00 AM<\/td>\r\nBreakfast<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
9:00 AM\u201310:00 AM<\/td>\r\nPiotr Indyk, MIT | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
10:00 AM\u201311:00 AM<\/td>\r\nCoffee break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
11:00 AM\u201312:30 PM<\/td>\r\nRong Ge, Duke; Yuanzhi Li, CMU; Suvrit Sra, MIT | video<\/a><\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
12:30 PM\u20132:00 PM<\/td>\r\nLunch break<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"}],"msr_startdate":"2019-08-26","msr_enddate":"2019-08-28","msr_event_time":"","msr_location":"Redmond, Washington, USA","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"August 26, 2019","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"\"Microsoft","event_excerpt":"Our three-day workshop in Redmond, Washington stems on what we identify as the current main bottleneck: understanding the geometrical structure of deep neural networks.","msr_research_lab":[199565],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[606510,606999,607041,607056,607089,607101,607116,607425,607299,607692],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/559683","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":18,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/559683\/revisions"}],"predecessor-version":[{"id":1147050,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/559683\/revisions\/1147050"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/493919"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=559683"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=559683"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=559683"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=559683"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=559683"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=559683"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=559683"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=559683"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=559683"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}