{"id":191936,"date":"2014-12-11T00:00:00","date_gmt":"2015-02-10T12:47:28","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/nips-spotlight-session-9-graphical-models-spotlights-model-selection\/"},"modified":"2025-08-04T20:32:51","modified_gmt":"2025-08-05T03:32:51","slug":"nips-spotlight-session-9-graphical-models-spotlights-model-selection","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/nips-spotlight-session-9-graphical-models-spotlights-model-selection\/","title":{"rendered":"NIPS: Spotlight Session 9 &#8211; Graphical Models Spotlights, Model Selection"},"content":{"rendered":"<div class=\"asset-content\">\n<p>S. Nie, D. Maua, C. de Campos, Q. Ji<br \/>\nAdvances in Learning Bayesian Networks of Bounded Treewidth<\/p>\n<p>J. Tristan, D. Huang, J. Tassarotti, A. Pocock, S. Green, G. Steele<br \/>\nAugur: Data-Parallel Probabilistic Modeling<\/p>\n<p>N. Ruozzi, T. Jebara<br \/>\nMaking Pairwise Binary Graphical Models Attractive<\/p>\n<p>C. Chen, H. Liu, D. Metaxas, T. Zhao<br \/>\nMode Estimation for High Dimensional Discrete Tree Graphical Models<\/p>\n<p>F. Stimberg, A. Ruttor, M. Opper<br \/>\nPoisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data<\/p>\n<p>H. Hu, Z. Li, A. Vetta<br \/>\nRandomized Experimental Design for Causal Graph Discovery<\/p>\n<p>E. Bareinboim, J. Pearl<br \/>\nTransportability from Multiple Environments with Limited Experiments: Completeness Results<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, J. Tassarotti, A. Pocock, S. Green, G. Steele Augur: Data-Parallel Probabilistic Modeling N. Ruozzi, T. Jebara Making Pairwise Binary Graphical Models Attractive C. Chen, H. Liu, D. Metaxas, T. Zhao Mode Estimation for High [&hellip;]<\/p>\n","protected":false},"featured_media":1146572,"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-191936","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\/x2IOZ4Lk-Tc","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\/191936","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":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191936\/revisions"}],"predecessor-version":[{"id":1146574,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191936\/revisions\/1146574"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1146572"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=191936"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=191936"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=191936"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=191936"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=191936"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=191936"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=191936"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=191936"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=191936"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=191936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}