{"id":716272,"date":"2021-01-11T18:33:08","date_gmt":"2021-01-12T02:33:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=716272"},"modified":"2025-08-06T11:52:02","modified_gmt":"2025-08-06T18:52:02","slug":"wsdm-2021","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/wsdm-2021\/","title":{"rendered":"Microsoft at WSDM 2021"},"content":{"rendered":"\n\n

Website:<\/strong> WSDM 2021 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021) (opens in new tab)<\/span><\/a>. Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.<\/p>\n

Live chat with us<\/h2>\n\n\n\n\n\n\n\n\n\n\n
Tuesday, March 9<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n9:30 AM\u201310:00 AM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
<\/td>\n1:00 PM\u20132:00 PM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
Wednesday, March 10<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n9:30 AM\u201310:00 AM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
<\/td>\n1:00 PM\u20132:00 PM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
Thursday, March 11<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n4:00 AM\u20135:00 AM<\/td>\nRoyi Ronen, Principal Applied Research Manager<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Program Chairs<\/h3>\n

Elad Yom-Tov\u200b (opens in new tab)<\/span><\/a>, General Chair
\nNoam Koenigstein (opens in new tab)<\/span><\/a>, Poster and Demo Chair
\nRoyi Ronen (opens in new tab)<\/span><\/a>, Industry Day Chair<\/p>\n

Senior Program Committee members<\/h3>\n

Paul Bennett (opens in new tab)<\/span><\/a>, Nick Craswell (opens in new tab)<\/span><\/a>, Bhaskar Mitra (opens in new tab)<\/span><\/a>, Ahmed Hassan Awadallah (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a>, Jake Hofman (opens in new tab)<\/span><\/a><\/p>\n

Program Committee members<\/h3>\n

Fangzhao Wu (opens in new tab)<\/span><\/a>, Adith Swaminathan (opens in new tab)<\/span><\/a>, Wentao Wu (opens in new tab)<\/span><\/a>, Mingjie Qian (opens in new tab)<\/span><\/a>, Wei Wu, Xiaodong Liu (opens in new tab)<\/span><\/a>, Manish Gupta (opens in new tab)<\/span><\/a>, Daxin Jiang (opens in new tab)<\/span><\/a>, Subhabrata Mukherjee (opens in new tab)<\/span><\/a>, Arnd Christian K\u00f6nig (opens in new tab)<\/span><\/a>, Julia Kiseleva (opens in new tab)<\/span><\/a>, Kuansan Wang (opens in new tab)<\/span><\/a>, Hongwei Liang (opens in new tab)<\/span><\/a>, Peter Bailey (opens in new tab)<\/span><\/a>, Ning Gao (opens in new tab)<\/span><\/a>, Xiaolu Lu (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

*Times are in local Jerusalem time zone (GMT+2)<\/em><\/p>\n

Tuesday, March 9<\/h2>\n

09:30 \u2013 10:30 | Session 1: Society
\nPopulation-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

11:00 \u2013 13:00 | Session 2: Classification
\nDeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

11:00 \u2013 13:00 | Session 2: Classification
\nDECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

21:00 \u2013 22:00 | Session 5: Experiments
\nCausal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat Bayir<\/p>\n

\n

22:00 \u2013 24:00 | Posters 1 + Demos<\/p>\n

[87] DECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>
\nShining Liang, Linjun Shou (opens in new tab)<\/span><\/a>, Jian Pei, Ming Gong (opens in new tab)<\/span><\/a>, Wanli Zuo, Daxin Jiang (opens in new tab)<\/span><\/a><\/p>\n

[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>
\nRahul Ragesh (opens in new tab)<\/span><\/a>, Sundararajan Sellamanickam (opens in new tab)<\/span><\/a>, Arun Iyer (opens in new tab)<\/span><\/a>, Ramakrishna Bairi, Vijay Lingam (opens in new tab)<\/span><\/a><\/p>\n

\n

Wednesday, March 10<\/h2>\n

8:30 \u2013 9:30 | Keynote
\nSusan Dumais (opens in new tab)<\/span><\/a><\/p>\n

\n

13:00 \u2013 15:00 | Posters 1 + Demos<\/p>\n

[87] DECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>
\nShining Liang, Linjun Shou (opens in new tab)<\/span><\/a>, Jian Pei, Ming Gong (opens in new tab)<\/span><\/a>, Wanli Zuo, Daxin Jiang (opens in new tab)<\/span><\/a><\/p>\n

[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>
\nRahul Ragesh (opens in new tab)<\/span><\/a>, Sundararajan Sellamanickam (opens in new tab)<\/span><\/a>, Arun Iyer (opens in new tab)<\/span><\/a>, Ramakrishna Bairi, Vijay Lingam (opens in new tab)<\/span><\/a><\/p>\n

\n

20:00 \u2013 21:00 | Keynote
\nSusan Dumais (opens in new tab)<\/span><\/a><\/p>\n

21:00 \u2013 22:00 | Session 10: Explainability and Intervention
\nSplit-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

\n

22:00 \u2013 24:00 | Posters 2 + Demos<\/p>\n

[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat Bayir<\/p>\n

\n

Thursday, March 11<\/h2>\n

13:00 \u2013 15:00 | Posters 2 + Demos<\/p>\n

[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat BayirOpens in a new tab<\/span><\/p>\n

Fill out this quick\u00a0interest form (opens in new tab)<\/span><\/a> to leave us your information!Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021). Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2021-03-08","msr_enddate":"2021-03-12","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":[13555],"msr-region":[256048],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[243727,243724],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-716272","msr-event","type-msr-event","status-publish","hentry","msr-research-area-search-information-retrieval","msr-region-global","msr-event-type-conferences","msr-locale-en_us","msr-program-audience-faculty","msr-program-audience-students"],"msr_about":"\n\n

Website:<\/strong> WSDM 2021 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021) (opens in new tab)<\/span><\/a>. Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.<\/p>\n

Live chat with us<\/h2>\n\n\n\n\n\n\n\n\n\n\n
Tuesday, March 9<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n9:30 AM\u201310:00 AM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
<\/td>\n1:00 PM\u20132:00 PM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
Wednesday, March 10<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n9:30 AM\u201310:00 AM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
<\/td>\n1:00 PM\u20132:00 PM<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
Thursday, March 11<\/strong><\/td>\nTime (PST)<\/strong><\/td>\nName<\/strong><\/td>\n<\/tr>\n
<\/td>\n4:00 AM\u20135:00 AM<\/td>\nRoyi Ronen, Principal Applied Research Manager<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n

Program Chairs<\/h3>\n

Elad Yom-Tov\u200b (opens in new tab)<\/span><\/a>, General Chair
\nNoam Koenigstein (opens in new tab)<\/span><\/a>, Poster and Demo Chair
\nRoyi Ronen (opens in new tab)<\/span><\/a>, Industry Day Chair<\/p>\n

Senior Program Committee members<\/h3>\n

Paul Bennett (opens in new tab)<\/span><\/a>, Nick Craswell (opens in new tab)<\/span><\/a>, Bhaskar Mitra (opens in new tab)<\/span><\/a>, Ahmed Hassan Awadallah (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a>, Jake Hofman (opens in new tab)<\/span><\/a><\/p>\n

Program Committee members<\/h3>\n

Fangzhao Wu (opens in new tab)<\/span><\/a>, Adith Swaminathan (opens in new tab)<\/span><\/a>, Wentao Wu (opens in new tab)<\/span><\/a>, Mingjie Qian (opens in new tab)<\/span><\/a>, Wei Wu, Xiaodong Liu (opens in new tab)<\/span><\/a>, Manish Gupta (opens in new tab)<\/span><\/a>, Daxin Jiang (opens in new tab)<\/span><\/a>, Subhabrata Mukherjee (opens in new tab)<\/span><\/a>, Arnd Christian K\u00f6nig (opens in new tab)<\/span><\/a>, Julia Kiseleva (opens in new tab)<\/span><\/a>, Kuansan Wang (opens in new tab)<\/span><\/a>, Hongwei Liang (opens in new tab)<\/span><\/a>, Peter Bailey (opens in new tab)<\/span><\/a>, Ning Gao (opens in new tab)<\/span><\/a>, Xiaolu Lu (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

*Times are in local Jerusalem time zone (GMT+2)<\/em><\/p>\n

Tuesday, March 9<\/h2>\n

09:30 \u2013 10:30 | Session 1: Society
\nPopulation-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

11:00 \u2013 13:00 | Session 2: Classification
\nDeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

11:00 \u2013 13:00 | Session 2: Classification
\nDECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

21:00 \u2013 22:00 | Session 5: Experiments
\nCausal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat Bayir<\/p>\n

\n

22:00 \u2013 24:00 | Posters 1 + Demos<\/p>\n

[87] DECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>
\nShining Liang, Linjun Shou (opens in new tab)<\/span><\/a>, Jian Pei, Ming Gong (opens in new tab)<\/span><\/a>, Wanli Zuo, Daxin Jiang (opens in new tab)<\/span><\/a><\/p>\n

[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>
\nRahul Ragesh (opens in new tab)<\/span><\/a>, Sundararajan Sellamanickam (opens in new tab)<\/span><\/a>, Arun Iyer (opens in new tab)<\/span><\/a>, Ramakrishna Bairi, Vijay Lingam (opens in new tab)<\/span><\/a><\/p>\n

\n

Wednesday, March 10<\/h2>\n

8:30 \u2013 9:30 | Keynote
\nSusan Dumais (opens in new tab)<\/span><\/a><\/p>\n

\n

13:00 \u2013 15:00 | Posters 1 + Demos<\/p>\n

[87] DECAF: Deep Extreme Classification with Label Features<\/strong>
\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal (opens in new tab)<\/span><\/a>, Deepak Saini (opens in new tab)<\/span><\/a>, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a>, Purushottam Kar (opens in new tab)<\/span><\/a><\/p>\n

[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>
\nKunal Dahiya, Deepak Saini (opens in new tab)<\/span><\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave (opens in new tab)<\/span><\/a>, Akshay Soni (opens in new tab)<\/span><\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma (opens in new tab)<\/span><\/a><\/p>\n

[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>
\nJina Suh (opens in new tab)<\/span><\/a>, Eric Horvitz (opens in new tab)<\/span><\/a>, Ryen White (opens in new tab)<\/span><\/a>, Tim Althoff<\/p>\n

[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>
\nShining Liang, Linjun Shou (opens in new tab)<\/span><\/a>, Jian Pei, Ming Gong (opens in new tab)<\/span><\/a>, Wanli Zuo, Daxin Jiang (opens in new tab)<\/span><\/a><\/p>\n

[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>
\nRahul Ragesh (opens in new tab)<\/span><\/a>, Sundararajan Sellamanickam (opens in new tab)<\/span><\/a>, Arun Iyer (opens in new tab)<\/span><\/a>, Ramakrishna Bairi, Vijay Lingam (opens in new tab)<\/span><\/a><\/p>\n

\n

20:00 \u2013 21:00 | Keynote
\nSusan Dumais (opens in new tab)<\/span><\/a><\/p>\n

21:00 \u2013 22:00 | Session 10: Explainability and Intervention
\nSplit-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

\n

22:00 \u2013 24:00 | Posters 2 + Demos<\/p>\n

[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat Bayir<\/p>\n

\n

Thursday, March 11<\/h2>\n

13:00 \u2013 15:00 | Posters 2 + Demos<\/p>\n

[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>
\nYanbo Xu, Divyat Mahajan (opens in new tab)<\/span><\/a>, Liz Manrao (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a>, Emre Kiciman (opens in new tab)<\/span><\/a><\/p>\n

[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>
\nShuxi Zeng, Emre Kiciman (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Joel Pfeiffer, Murat BayirOpens in a new tab<\/span><\/p>\n

Fill out this quick\u00a0interest form (opens in new tab)<\/span><\/a> to leave us your information!Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021)<\/a>. Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.\r\n\r\n

Live chat with us<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Tuesday, March 9<\/strong><\/td>\r\nTime (PST)<\/strong><\/td>\r\nName<\/strong><\/td>\r\n<\/tr>\r\n
<\/td>\r\n9:30 AM\u201310:00 AM<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
<\/td>\r\n1:00 PM\u20132:00 PM<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
Wednesday, March 10<\/strong><\/td>\r\nTime (PST)<\/strong><\/td>\r\nName<\/strong><\/td>\r\n<\/tr>\r\n
<\/td>\r\n9:30 AM\u201310:00 AM<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
<\/td>\r\n1:00 PM\u20132:00 PM<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
Thursday, March 11<\/strong><\/td>\r\nTime (PST)<\/strong><\/td>\r\nName<\/strong><\/td>\r\n<\/tr>\r\n
<\/td>\r\n4:00 AM\u20135:00 AM<\/td>\r\nRoyi Ronen, Principal Applied Research Manager<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
<\/div>\r\n

Program Chairs<\/h3>\r\nElad Yom-Tov\u200b<\/a>, General Chair\r\nNoam Koenigstein<\/a>, Poster and Demo Chair\r\nRoyi Ronen<\/a>, Industry Day Chair\r\n

Senior Program Committee members<\/h3>\r\nPaul Bennett<\/a>, Nick Craswell<\/a>, Bhaskar Mitra<\/a>, Ahmed Hassan Awadallah<\/a>, Ryen White<\/a>, Emre Kiciman<\/a>, Jake Hofman<\/a>\r\n

Program Committee members<\/h3>\r\nFangzhao Wu<\/a>, Adith Swaminathan<\/a>, Wentao Wu<\/a>, Mingjie Qian<\/a>, Wei Wu, Xiaodong Liu<\/a>, Manish Gupta<\/a>, Daxin Jiang<\/a>, Subhabrata Mukherjee<\/a>, Arnd Christian K\u00f6nig<\/a>, Julia Kiseleva<\/a>, Kuansan Wang<\/a>, Hongwei Liang<\/a>, Peter Bailey<\/a>, Ning Gao<\/a>, Xiaolu Lu<\/a>"},{"id":1,"name":"Sessions","content":"*Times are in local Jerusalem time zone (GMT+2)<\/em>\r\n

Tuesday, March 9<\/h2>\r\n09:30 \u2013 10:30 | Session 1: Society\r\nPopulation-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>\r\nJina Suh<\/a>, Eric Horvitz<\/a>, Ryen White<\/a>, Tim Althoff\r\n\r\n11:00 \u2013 13:00 | Session 2: Classification\r\nDeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>\r\nKunal Dahiya, Deepak Saini<\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave<\/a>, Akshay Soni<\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma<\/a>\r\n\r\n11:00 \u2013 13:00 | Session 2: Classification\r\nDECAF: Deep Extreme Classification with Label Features<\/strong>\r\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal<\/a>, Deepak Saini<\/a>, Sumeet Agarwal, Manik Varma<\/a>, Purushottam Kar<\/a>\r\n\r\n21:00 \u2013 22:00 | Session 5: Experiments\r\nCausal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>\r\nShuxi Zeng, Emre Kiciman<\/a>, Denis Charles<\/a>, Joel Pfeiffer, Murat Bayir\r\n\r\n
\r\n\r\n22:00 \u2013 24:00 | Posters 1 + Demos\r\n\r\n[87] DECAF: Deep Extreme Classification with Label Features<\/strong>\r\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal<\/a>, Deepak Saini<\/a>, Sumeet Agarwal, Manik Varma<\/a>, Purushottam Kar<\/a>\r\n\r\n[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>\r\nKunal Dahiya, Deepak Saini<\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave<\/a>, Akshay Soni<\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma<\/a>\r\n\r\n[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>\r\nJina Suh<\/a>, Eric Horvitz<\/a>, Ryen White<\/a>, Tim Althoff\r\n\r\n[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>\r\nShining Liang, Linjun Shou<\/a>, Jian Pei, Ming Gong<\/a>, Wanli Zuo, Daxin Jiang<\/a>\r\n\r\n[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>\r\nRahul Ragesh<\/a>, Sundararajan Sellamanickam<\/a>, Arun Iyer<\/a>, Ramakrishna Bairi, Vijay Lingam<\/a>\r\n\r\n
\r\n\r\n

Wednesday, March 10<\/h2>\r\n8:30 \u2013 9:30 | Keynote\r\nSusan Dumais<\/a>\r\n\r\n
\r\n\r\n13:00 \u2013 15:00 | Posters 1 + Demos\r\n\r\n[87] DECAF: Deep Extreme Classification with Label Features<\/strong>\r\nAnshul Mittal, Kunal Dahiya, Sheshansh Agrawal<\/a>, Deepak Saini<\/a>, Sumeet Agarwal, Manik Varma<\/a>, Purushottam Kar<\/a>\r\n\r\n[134] DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents<\/strong>\r\nKunal Dahiya, Deepak Saini<\/a>, Anshul Mittal, Ankush Shaw, Kushal Dave<\/a>, Akshay Soni<\/a>, Himanshu Jain, Sumeet Agarwal, Manik Varma<\/a>\r\n\r\n[235] Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/strong>\r\nJina Suh<\/a>, Eric Horvitz<\/a>, Ryen White<\/a>, Tim Althoff\r\n\r\n[557] CalibreNet: Calibration Networks for Multilingual Sequence Labeling<\/strong>\r\nShining Liang, Linjun Shou<\/a>, Jian Pei, Ming Gong<\/a>, Wanli Zuo, Daxin Jiang<\/a>\r\n\r\n[583] HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification<\/strong>\r\nRahul Ragesh<\/a>, Sundararajan Sellamanickam<\/a>, Arun Iyer<\/a>, Ramakrishna Bairi, Vijay Lingam<\/a>\r\n\r\n
\r\n\r\n20:00 \u2013 21:00 | Keynote\r\nSusan Dumais<\/a>\r\n\r\n21:00 \u2013 22:00 | Session 10: Explainability and Intervention\r\nSplit-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>\r\nYanbo Xu, Divyat Mahajan<\/a>, Liz Manrao<\/a>, Amit Sharma<\/a>, Emre Kiciman<\/a>\r\n\r\n
\r\n\r\n22:00 \u2013 24:00 | Posters 2 + Demos\r\n\r\n[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>\r\nYanbo Xu, Divyat Mahajan<\/a>, Liz Manrao<\/a>, Amit Sharma<\/a>, Emre Kiciman<\/a>\r\n\r\n[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>\r\nShuxi Zeng, Emre Kiciman<\/a>, Denis Charles<\/a>, Joel Pfeiffer, Murat Bayir\r\n\r\n
\r\n\r\n

Thursday, March 11<\/h2>\r\n13:00 \u2013 15:00 | Posters 2 + Demos\r\n\r\n[305] Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions<\/strong>\r\nYanbo Xu, Divyat Mahajan<\/a>, Liz Manrao<\/a>, Amit Sharma<\/a>, Emre Kiciman<\/a>\r\n\r\n[532] Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction<\/strong>\r\nShuxi Zeng, Emre Kiciman<\/a>, Denis Charles<\/a>, Joel Pfeiffer, Murat Bayir"},{"id":2,"name":"Career Opportunities","content":"Fill out this quick\u00a0interest form<\/a> to leave us your information!"}],"msr_startdate":"2021-03-08","msr_enddate":"2021-03-12","msr_event_time":"","msr_location":"Virtual","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"March 8, 2021","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021). Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[688704,743734],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/716272","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":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/716272\/revisions"}],"predecessor-version":[{"id":1146903,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/716272\/revisions\/1146903"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=716272"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=716272"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=716272"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=716272"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=716272"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=716272"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=716272"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=716272"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=716272"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}