{"id":774,"date":"2018-06-15T14:05:52","date_gmt":"2018-06-15T14:05:52","guid":{"rendered":"http:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=774"},"modified":"2018-08-15T15:48:47","modified_gmt":"2018-08-15T15:48:47","slug":"congratulations-to-vineet-and-allen-for-their-kdd-2018-workshop-paper","status":"publish","type":"post","link":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=774","title":{"rendered":"Congratulations to Vineet and Allen for their KDD 2018 Workshop paper"},"content":{"rendered":"<p style=\"text-align: left;\"><a href=\"http:\/\/nugget.unisa.edu.au\/CD2018\/cfp.html\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-775 alignleft\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/06\/kdd2018_116_40.gif\" alt=\"\" width=\"197\" height=\"68\" \/><\/a><br \/>\nThe paper of Vineet and Allen on &#8220;<a href=\"http:\/\/proceedings.mlr.press\/v92\/raghu18a\/raghu18a.pdf\" target=\"_blank\" rel=\"noopener\">Evaluation of Causal Structure Learning Methods on Mixed Data Types<\/a>&#8221; was accepted for oral presentation in the <a href=\"http:\/\/www.kdd.org\/kdd2018\/\" target=\"_blank\" rel=\"noopener\">2018 ACM SIGKDD<\/a> <a href=\"http:\/\/nugget.unisa.edu.au\/CD2018\/\" target=\"_blank\" rel=\"noopener\">Workshop on Causal Discovery<\/a>. \u00a0In this paper, we perform a thorough comparison of multiple methods for causal graph learning over mixed data types and at various sample sizes. \u00a0This can become the reference guide for which algorithms to use on which datasets. <strong>Congratulations<\/strong> Vineet and Allen!<img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-650 size-full\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/AllenPoon_100x140-1.jpg\" alt=\"\" width=\"100\" height=\"140\" \/><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-246 size-full\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/VineetRaghu100X140.png\" alt=\"\" width=\"100\" height=\"140\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/06\/pmlr-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-819\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/06\/pmlr-1.png\" alt=\"\" width=\"164\" height=\"68\" srcset=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/06\/pmlr-1.png 164w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/06\/pmlr-1-150x62.png 150w\" sizes=\"auto, (max-width: 164px) 100vw, 164px\" \/><\/a><strong>UPDATE &#8211; August 9, 2018:<\/strong> The <a href=\"http:\/\/proceedings.mlr.press\/v92\/raghu18a\/raghu18a.pdf\" target=\"_blank\" rel=\"noopener\">paper<\/a> is now published in the journal <em>Proceedings of Machine Learning Research<\/em>. \u00a0Supplementary Material: <a href=\"http:\/\/proceedings.mlr.press\/v92\/raghu18a\/raghu18a-supp.pdf\" target=\"_blank\" rel=\"noopener\">here<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>The paper of Vineet and Allen on &#8220;Evaluation of Causal Structure Learning Methods on Mixed Data Types&#8221; was accepted for oral presentation in the 2018 ACM SIGKDD Workshop on Causal Discovery. \u00a0In this paper, we perform a thorough comparison of multiple methods for causal graph learning over mixed data types &#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=774\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":3,"featured_media":775,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-774","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/774","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=774"}],"version-history":[{"count":24,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/774\/revisions"}],"predecessor-version":[{"id":837,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/774\/revisions\/837"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/media\/775"}],"wp:attachment":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=774"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=774"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}