{"id":476,"date":"2008-11-28T19:26:52","date_gmt":"2008-11-29T01:26:52","guid":{"rendered":"http:\/\/hunch.net\/?p=476"},"modified":"2008-11-28T19:26:52","modified_gmt":"2008-11-29T01:26:52","slug":"a-bumper-crop-of-machine-learning-graduates","status":"publish","type":"post","link":"https:\/\/hunch.net\/?p=476","title":{"rendered":"A Bumper Crop of Machine Learning Graduates"},"content":{"rendered":"<p>My impression is that this is a particularly strong year for machine learning graduates.  Here&#8217;s my short list of the strong graduates I know.  Analpha (for perversity&#8217;s sake) by last name:<\/p>\n<ol>\n<li><a href=\"http:\/\/www.seas.upenn.edu\/~wortmanj\/\">Jenn Wortmann<\/a>. When Jenn visited us for the summer, she had <a href=\"http:\/\/www.seas.upenn.edu\/~wortmanj\/papers\/scavenging.pdf\">one<\/a>, <a href=\"http:\/\/www.seas.upenn.edu\/~wortmanj\/papers\/wagering.pdf\">two<\/a>, <a href=\"http:\/\/www.seas.upenn.edu\/~wortmanj\/papers\/lmsrcomplexity.pdf\">three<\/a>, <a href=\"http:\/\/www.seas.upenn.edu\/~wortmanj\/papers\/explore.pdf\">four<\/a> papers.  That is typical&#8212;she&#8217;s smart, capable, and follows up many directions of research.  I believe approximately all of her many papers are on different subjects.<\/li>\n<li><a href=\"http:\/\/www.cs.toronto.edu\/~rsalakhu\/\">Ruslan Salakhutdinov<\/a>. A <a href=\"http:\/\/www.sciencemag.org\/cgi\/content\/short\/313\/5786\/504\">Science paper on bijective dimensionality reduction<\/a>, mastered and improved on deep belief nets which seems like an important flavor of nonlinear learning, and in my experience he&#8217;s very fast, capable and creative at problem solving.<\/li>\n<li><a href=\"http:\/\/www.cs.nyu.edu\/~ranzato\/\">Marc&#8217;Aurelio Ranzato<\/a>.  I haven&#8217;t spoken with Marc very much, but he had a great visit at Yahoo! this summer, and has an impressive portfolio of applications and improvements on convolutional neural networks and other deep learning algorithms.<\/li>\n<li><a href=\"http:\/\/www.research.rutgers.edu\/~lihong\/\">Lihong Li<\/a>.  Lihong developed the <a href=\"http:\/\/www.research.rutgers.edu\/~lihong\/pub\/Li08Knows.pdf\">KWIK (&#8220;Knows what it Knows&#8221;) learning framework<\/a>, for analyzing and creating uncertainty-aware learning algorithms. New mathematical models of learning are rare, and the topic is of substantial interest, so this is pretty cool.  He&#8217;s also worked on a wide variety of other subjects and in my experience is broadly capable.<\/li>\n<li><a href=\"http:\/\/www.cs.cmu.edu\/~shanneke\/\">Steve Hanneke<\/a>: When the chapter on active learning is written in a machine learning textbook, I expect the <a href=\"http:\/\/www.cs.cmu.edu\/~shanneke\/docs\/2007\/hanneke-agnostic-active.pdf\">disagreement coefficient<\/a> to be in it.  Steve&#8217;s work is strongly distinguished from his adviser&#8217;s, so he is guaranteed capable of independent research.<\/li>\n<\/ol>\n<p>There are a couple others such as <a href=\"http:\/\/www.cs.ucsd.edu\/~djhsu\/\">Daniel<\/a> and <a href=\"http:\/\/www.cs.berkeley.edu\/~jake\/\">Jake<\/a> for whom I&#8217;m unsure of their graduation plans, although they have already done good work.  In addition, I&#8217;m sure there are several others that I don&#8217;t know&#8212;feel free to mention others I don&#8217;t know in comments.<\/p>\n<p>It&#8217;s traditional to imagine that one is best overall for hiring purposes, but I have substantial difficulty with that&#8212;the field of ML is simply to broad.  Instead, if you are interested in hiring, each should be considered in your context.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>My impression is that this is a particularly strong year for machine learning graduates. Here&#8217;s my short list of the strong graduates I know. Analpha (for perversity&#8217;s sake) by last name: Jenn Wortmann. When Jenn visited us for the summer, she had one, two, three, four papers. That is typical&#8212;she&#8217;s smart, capable, and follows up &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/hunch.net\/?p=476\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;A Bumper Crop of Machine Learning Graduates&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[],"class_list":["post-476","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"_links":{"self":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/476","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=476"}],"version-history":[{"count":0,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/476\/revisions"}],"wp:attachment":[{"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}