{"id":191873,"date":"2014-12-09T00:00:00","date_gmt":"2015-02-06T09:58:04","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/nips-spotlight-session-1-optimization-spotlights\/"},"modified":"2025-08-04T20:48:40","modified_gmt":"2025-08-05T03:48:40","slug":"nips-spotlight-session-1-optimization-spotlights","status":"publish","type":"msr-video","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/nips-spotlight-session-1-optimization-spotlights\/","title":{"rendered":"NIPS: Spotlight Session 1 &#8211; Optimization Spotlights"},"content":{"rendered":"<div class=\"asset-content\">\n<p>W. Su, S. Boyd, E. Candes<br \/>\nA Differential Equation for Modeling Nesterov\u2019s Accelerated Gradient Method: Theory and Insights<\/p>\n<p>V. Srikumar, C. Manning<br \/>\nLearning Distributed Representations for Structured Output Prediction<\/p>\n<p>J. Hern\u00e1ndez-Lobato, M. Hoffman, Z. Ghahramani<br \/>\nPredictive Entropy Search for Efficient Global Optimization of Black-box Functions<\/p>\n<p>A. Prasad, S. Jegelka, D. Batra<br \/>\nSubmodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets<\/p>\n<p>M. Hardt, E. Price<br \/>\nThe Noisy Power Method: A Meta Algorithm with Applications<\/p>\n<p>J. Wang, J. Ye<br \/>\nTwo-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>W. Su, S. Boyd, E. Candes A Differential Equation for Modeling Nesterov\u2019s Accelerated Gradient Method: Theory and Insights V. Srikumar, C. Manning Learning Distributed Representations for Structured Output Prediction J. Hern\u00e1ndez-Lobato, M. Hoffman, Z. Ghahramani Predictive Entropy Search for Efficient Global Optimization of Black-box Functions A. Prasad, S. Jegelka, D. Batra Submodular meets Structured: Finding [&hellip;]<\/p>\n","protected":false},"featured_media":198836,"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-191873","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\/GuZJQ8ofIbM","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191873","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191873\/revisions"}],"predecessor-version":[{"id":1146593,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191873\/revisions\/1146593"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/198836"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=191873"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=191873"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=191873"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=191873"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=191873"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=191873"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=191873"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=191873"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=191873"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=191873"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}