{"id":191911,"date":"2014-12-10T00:00:00","date_gmt":"2015-02-06T13:32:54","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/nips-spotlight-session-5-regression-and-time-series-spotlights\/"},"modified":"2025-08-04T20:43:10","modified_gmt":"2025-08-05T03:43:10","slug":"nips-spotlight-session-5-regression-and-time-series-spotlights","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/nips-spotlight-session-5-regression-and-time-series-spotlights\/","title":{"rendered":"NIPS: Spotlight Session 5 &#8211; Regression and Time Series Spotlights"},"content":{"rendered":"<div class=\"asset-content\">\n<p>M. Lopes<br \/>\nA Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs\n<\/p>\n<p>B. McWilliams, G. Krummenacher, M. Lucic, J. Buhmann<br \/>\nFast and Robust Least Squares Estimation in Corrupted Linear Models\n<\/p>\n<p>M. Bahadori, R. Yu, Y. Liu<br \/>\nFast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning\n<\/p>\n<p>P. Netrapalli, N. U N, S. Sanghavi, A. Anandkumar, P. Jain<br \/>\nNon-convex Robust PCA\n<\/p>\n<p>Y. Zhang, X. Chen, D. Zhou, M. Jordan<br \/>\nSpectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing\n<\/p>\n<p>T. Berg-Kirkpatrick, J. Andreas, D. Klein<br \/>\nUnsupervised Transcription of Piano Music <\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>M. Lopes A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs B. McWilliams, G. Krummenacher, M. Lucic, J. Buhmann Fast and Robust Least Squares Estimation in Corrupted Linear Models M. Bahadori, R. Yu, Y. Liu Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning P. Netrapalli, N. U N, S. Sanghavi, A. Anandkumar, P. [&hellip;]<\/p>\n","protected":false},"featured_media":198855,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":null,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-191911","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/obPxXu5oERs","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191911","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191911\/revisions"}],"predecessor-version":[{"id":1146587,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191911\/revisions\/1146587"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/198855"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=191911"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=191911"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=191911"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=191911"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=191911"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=191911"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=191911"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=191911"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=191911"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=191911"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}