{"id":202,"date":"2019-10-02T12:41:32","date_gmt":"2019-10-02T10:41:32","guid":{"rendered":"https:\/\/project.inria.fr\/apriori\/?p=202"},"modified":"2019-10-02T12:42:27","modified_gmt":"2019-10-02T10:42:27","slug":"accepted-paper-neurips-2019","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/apriori\/accepted-paper-neurips-2019\/","title":{"rendered":"Accepted paper @ NeurIPS 2019"},"content":{"rendered":"<p><strong>Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks<\/strong><br \/>\nGa\u00ebl Letarte, Pascal Germain, Benjamin Guedj, Fran\u00e7ois Laviolette<br \/>\n<em>Conference on Neural Information Processing Systems (NeurIPS),\u00a0<strong>2019<\/strong><\/em><br \/>\n[<a href=\"https:\/\/arxiv.org\/abs\/1905.10259\">pdf<\/a>]<\/p>\n<p>&nbsp;<\/p>\n<p>and also a communication in a workshop:<br \/>\n<strong>Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory<\/strong><br \/>\nPaul Viallard ; R\u00e9mi Emonet ; Pascal Germain ; Amaury Habrard ; Emilie Morvant<br \/>\n<em>NeurIPS\u00a0<b>2019<\/b>\u00a0Workshop on\u00a0<a href=\"https:\/\/sites.google.com\/view\/mlwithguarantees\" target=\"_blank\" rel=\"noopener\">Machine Learning with guarantees<\/a><\/em><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Ga\u00ebl Letarte, Pascal Germain, Benjamin Guedj, Fran\u00e7ois Laviolette Conference on Neural Information Processing Systems (NeurIPS),\u00a02019 [pdf] &nbsp; and also a communication in a workshop: Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory Paul Viallard ; R\u00e9mi Emonet ; Pascal\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/apriori\/accepted-paper-neurips-2019\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1525,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[6],"tags":[],"class_list":["post-202","post","type-post","status-publish","format-standard","hentry","category-paper"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/posts\/202","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/users\/1525"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/comments?post=202"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/posts\/202\/revisions"}],"predecessor-version":[{"id":204,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/posts\/202\/revisions\/204"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/media?parent=202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/categories?post=202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/apriori\/wp-json\/wp\/v2\/tags?post=202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}