{"id":238827,"date":"2016-06-14T13:33:15","date_gmt":"2016-06-14T20:33:15","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=238827"},"modified":"2022-08-08T10:14:48","modified_gmt":"2022-08-08T17:14:48","slug":"icml","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/icml\/","title":{"rendered":"International Conference on Machine Learning (ICML) 2016"},"content":{"rendered":"\n\n\n\n\n
ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS) (opens in new tab)<\/span><\/a>. The 33rd International Conference on Machine Learning (ICML 2016) (opens in new tab)<\/span><\/a>was held in New York City, NY, USA, on June 19\u201324, 2016. ICML 2016 was colocated with COLT (opens in new tab)<\/span><\/a> (June 24\u201326) and UAI (opens in new tab)<\/span><\/a> (June 24\u201329).<\/p>\n\n\n\n Microsoft was proud to be a Gold Sponsor and as such had over 30 researchers attend and present. If you attended ICML 2016, we hope you stopped by our booth to chat with our researchers about the projects and opportunities at Microsoft that involve solving interesting machine and deep learning problems for billions of people. You can learn more about our research presented at ICML 2016 on the Workshops and Accepted Papers tabs, as well as on our blog: Microsoft researchers present 18 papers at the International Conference on Machine Learning ><\/a><\/p>\n\n\n\n Xiaodong He<\/a> (Microsoft Research), Karen Livescu (TTI-Chicago), Weiran Wang (TTI-Chicago), Scott Wen-tau Yih (Microsoft Research)<\/p>\n\n\n\n The Multi-View Representation Learning (MVRL) (opens in new tab)<\/span><\/a> workshop brought together researchers and practitioners in this area, and covered both theoretical and practical aspects of representation\/feature learning in the presence of multi-view data.<\/p>\n\n\n\n\n\n ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS). The 33rd International Conference on Machine Learning (ICML 2016) was held in New York City on June 19\u201324, 2016. <\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr_startdate":"2016-06-19","msr_enddate":"2016-06-24","msr_location":"New York City, NY, 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,"footnotes":""},"research-area":[13556],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-238827","msr-event","type-msr-event","status-publish","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n\n\n\n ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS)<\/a>. The 33rd International Conference on Machine Learning (ICML 2016) <\/a>was held in New York City, NY, USA, on June 19\u201324, 2016. ICML 2016 was colocated with COLT<\/a> (June 24\u201326) and UAI<\/a> (June 24\u201329).<\/p>\n\n\n\n Microsoft was proud to be a Gold Sponsor and as such had over 30 researchers attend and present. If you attended ICML 2016, we hope you stopped by our booth to chat with our researchers about the projects and opportunities at Microsoft that involve solving interesting machine and deep learning problems for billions of people. You can learn more about our research presented at ICML 2016 on the Workshops and Accepted Papers tabs, as well as on our blog: Microsoft researchers present 18 papers at the International Conference on Machine Learning ><\/a><\/p>\n\n\n\n Xiaodong He<\/a> (Microsoft Research), Karen Livescu (TTI-Chicago), Weiran Wang (TTI-Chicago), Scott Wen-tau Yih (Microsoft Research)<\/p>\n\n\n\n The Multi-View Representation Learning (MVRL)<\/a> workshop brought together researchers and practitioners in this area, and covered both theoretical and practical aspects of representation\/feature learning in the presence of multi-view data.<\/p>\n\n\n\n\n\nCommittee chairs<\/h2>\n\n\n\n
Multi-View Representation Learning (MVRL)<\/h2>\n\n\n\n
Committee chairs<\/h2>\n\n\n\n
Multi-View Representation Learning (MVRL)<\/h2>\n\n\n\n
Committee chairs<\/h2>\r\n
\r\n \t
Multi-View Representation Learning (MVRL)<\/h2>\r\nXiaodong He<\/a> (Microsoft Research), Karen Livescu (TTI-Chicago), Weiran Wang (TTI-Chicago), Scott Wen-tau Yih (Microsoft Research)\r\n\r\nThe Multi-View Representation Learning (MVRL)<\/a> workshop brought together researchers and practitioners in this area, and covered both theoretical and practical aspects of representation\/feature learning in the presence of multi-view data."},{"id":2,"name":"Accepted Papers","content":"
\r\n \t