{"id":23142,"date":"2022-11-24T11:40:11","date_gmt":"2022-11-24T11:40:11","guid":{"rendered":"https:\/\/showbizztoday.com\/index.php\/2022\/11\/24\/spotifys-contributions-to-neurips-2022\/"},"modified":"2022-11-24T11:40:11","modified_gmt":"2022-11-24T11:40:11","slug":"spotifys-contributions-to-neurips-2022","status":"publish","type":"post","link":"https:\/\/showbizztoday.com\/index.php\/2022\/11\/24\/spotifys-contributions-to-neurips-2022\/","title":{"rendered":"Spotify\u2019s Contributions to NeurIPS 2022"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div>\n<div class=\"published-date\">\n<div class=\"icon-holder\">\n                                                <img decoding=\"async\" src=\"https:\/\/research.atspotify.com\/wp-content\/themes\/spotify\/images\/icon.png\" alt=\"\"\/>\n                                            <\/div>\n<p><span class=\"date\">November 24, 2022<\/span> Published by Spotify Research<\/p>\n<\/p><\/div>\n<div class=\"img-holder\">\n                                            <img decoding=\"async\" src=\"https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Spotify\u2019s Contributions to NeurIPS 2022\" srcset=\"https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO.png 1200w, https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO-250x131.png 250w, https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO-700x368.png 700w, https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO-768x403.png 768w, https:\/\/storage.googleapis.com\/research-production\/1\/2022\/11\/RS041_Spotifys_contributions_to_NeurIPS_2022_V1-c-NO_LOGO-120x63.png 120w\" sizes=\"(max-width: 1200px) 100vw, 1200px\"\/><figcaption\/>\n                                        <\/div>\n<p class=\"has-text-align-center\"><strong>thirty sixth Conference on Neural Information Processing Systems<br \/>(NeurIPS 2022)<br \/>November twenty eighth \u2013 December ninth<br \/>New Orleans, USA and Virtual<\/strong><\/p>\n<p>Cutting-edge analysis in Machine Learning, Language Technologies, User Modeling, Audio Intelligence, Search and Recommender Systems are a number of the key areas we really feel extremely keen about at Spotify. That\u2019s why we\u2019re excited to be sponsoring this yr\u2019s NeurIPS convention and Women in Machine Learning workshop.<\/p>\n<p>While we recurrently share work from our analysis labs and engineering groups, we\u2019re significantly enthusiastic about this yr\u2019s contributions overlaying reinforcement studying, survival evaluation and causal inference.<\/p>\n<p>If you\u2019re attending NeurIPS 2022 in New Orleans, be certain to return by the Spotify stand and say whats up!<\/p>\n<h2>Research Papers<\/h2>\n<ul>\n<li>Temporally-Consistent Survival Analysis<br \/><strong>Lucas Maystre (Spotify), Daniel Russo (Columbia &amp; Spotify)<\/strong><br \/>Main Conference, Tue Nov 29, Hall J, Poster # 432, 4:30 \u2013 6:00 PM<\/li>\n<\/ul>\n<ul>\n<li>Society of Agents: Regrets Bounds of Concurrent Thompson Sampling<br \/>Yan Chen (Duke University), Perry Dong (University of California, Berkeley), Qinxun Bai (Horizon Robotics), <strong>Maria Dimakopoulou (Spotify)<\/strong>, Wei Xu (Horizon Robotics), Zhengyuan Zhou (Arena Technologies &amp; NYU)<br \/>Main Conference, Tue Nov 29, Hall J, Poster #816, 9:30 AM \u2013 1:00 PM<\/li>\n<\/ul>\n<ul>\n<li>Optimizing Audio Recommendations for the Long-Term<br \/><strong>Lucas Maystre (Spotify), Daniel Russo (Columbia &amp; Spotify), Yu Zhao (Spotify)<\/strong><br \/>Reinforcement Learning for Real Life Workshop, Sat 3 Dec, Theater A, from 7:30 AM<\/li>\n<\/ul>\n<ul>\n<li>Disentangling Causal Effects from Sets of Interventions within the Presence of Unobserved Confounders<br \/><strong>Olivier Jeunen (ShareChat, work executed whereas at Spotify), Ciar\u00e1n Gilligan-Lee (Spotify &amp; UCL), Rishabh Mehrotra (ShareChat, work executed whereas at Spotify), Mounia Lalmas (Spotify)<\/strong><br \/>Main Conference (Virtual), Tue Dec sixth, Featured Paper Panels 1A, 11:00 AM \u2013 1:00 PM<\/li>\n<\/ul>\n<h2>Workshops<\/h2>\n<ul>\n<li><strong>WiML 2022:<\/strong> seventeenth Women in Machine Learning workshop<br \/><strong>Organizers: Konstantina Palla (Spotify)<\/strong>, Sergul Aydore (Amazon AI), Gloria Namanya (Makerere AI Research), Beliz Gunel (Google AI), Mariam Arab (Microsoft), Kimia Nadjahi (MIT).<br \/><strong>Mentorship Guest: Mounia Lalmas-Roelleke (Spotify)<\/strong><br \/>Affinity Workshop, Mon Nov twenty eighth, Hall I-2, from 7:30 AM<\/li>\n<li><strong>OfflineRL:<\/strong> third Offline RL Workshop: Offline RL as a \u201cLaunchpad\u201d<br \/><strong>Invited Speaker: Tony Jebara (Spotify)<\/strong><br \/>Workshop, Fri Dec 2nd, Room 286, Keynote 3:00 \u2013 3:30 PM, Panel 12:30-1:30 PM.<\/li>\n<li><strong>RL Benchmarks <\/strong>Panel Discussion<strong><br \/>Invited Speaker: Tony Jebara (Spotify)<br \/><\/strong>Reinforcement Learning for Real Life Workshop, Sat 3 Dec, Theater A, Panel 10:20 \u2013 11:10 AM<\/li>\n<\/ul>\n<h2>Other contributions<\/h2>\n<p>Amar Ashar, Ethics Reviewer, foremost convention<br \/>Kamil Ciosek: Reviewer, foremost convention<br \/>Zhenwen Dai: Reviewer, foremost convention, deploy &amp; monitor ML workshop<br \/>Ghazal Fazelnia: Reviewer for the primary convention<br \/>Lucas Maystre: Reviewer, foremost convention<br \/>Konstantina Palla: Area Chair foremost convention &amp; WIML Workshop organizer<br \/>Athanasios Vlontzos: Reviewer, CML4Impact Workshop<\/p>\n<\/p><\/div>\n<p>[ad_2]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] November 24, 2022 Published by Spotify Research thirty sixth Conference on Neural Information Processing Systems(NeurIPS 2022)November twenty eighth \u2013 December ninthNew Orleans, USA and Virtual Cutting-edge analysis in Machine Learning, Language Technologies, User Modeling, Audio Intelligence, Search and Recommender Systems are a number of the key areas we really feel extremely keen about at [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23144,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":{"0":"post-23142","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-spotify"},"_links":{"self":[{"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/posts\/23142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/comments?post=23142"}],"version-history":[{"count":0,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/posts\/23142\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/media\/23144"}],"wp:attachment":[{"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/media?parent=23142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/categories?post=23142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/showbizztoday.com\/index.php\/wp-json\/wp\/v2\/tags?post=23142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}