{"id":2758,"date":"2014-06-24T17:56:33","date_gmt":"2014-06-24T23:56:33","guid":{"rendered":"http:\/\/hunch.net\/?p=2758"},"modified":"2014-06-29T02:41:15","modified_gmt":"2014-06-29T08:41:15","slug":"interesting-papers-at-icml-2014","status":"publish","type":"post","link":"https:\/\/hunch.net\/?p=2758","title":{"rendered":"Interesting papers at ICML 2014"},"content":{"rendered":"

This year’s ICML had several papers which I want to read through more carefully and understand better.<\/p>\n

    \n
  1. Chun-Liang Li, Hsuan-Tien Lin<\/a>, Condensed Filter Tree for Cost-Sensitive Multi-Label Classification<\/a>. Several tricks accumulate to give a new approach for addressing cost sensitive multilabel classification.<\/li>\n
  2. Nikos Karampatziakis<\/a> and Paul Mineiro<\/a>, Discriminative Features via Generalized Eigenvectors<\/a>. An efficient, effective eigenvalue solution for supervised learning yields compelling nonlinear performance on several datasets.<\/li>\n
  3. Nir Ailon<\/a>, Zohar Karnin<\/a>, Thorsten Joachims<\/a>, Reducing Dueling Bandits to Cardinal Bandits<\/a>. An effective method for reducing dueling bandits to normal bandits that extends to contextual situations.<\/li>\n
  4. Pedro Pinheiro, Ronan Collobert<\/a>, Recurrent Convolutional Neural Networks for Scene Labeling<\/a>. Image parsing remains a challenge, and this is plausibly a step forward.<\/li>\n
  5. Cicero Dos Santos<\/a>, Bianca Zadrozny, Learning Character-level Representations for Part-of-Speech Tagging<\/a>. Word morphology is clearly useful information, and yet almost all ML-for-NLP applications ignore it or hard-code it (by stemming).<\/li>\n
  6. Alekh Agarwal<\/a>, Daniel Hsu<\/a>, Satyen Kale<\/a>, John Langford<\/a>, Lihong Li<\/a>, Robert Schapire<\/a>, Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits<\/a>. Statistically efficient interactive learning is now computationally feasible. I wish this one had been done in time for the NIPS tutorial<\/a> \ud83d\ude42<\/li>\n
  7. David Silver, Guy Lever, Nicolas Heess<\/a>, Thomas Degris<\/a>, Daan Wierstra<\/a>, Martin Riedmiller<\/a>, Deterministic Policy Gradient Algorithms<\/a>. A reduction in variance from working out the deterministic limit of policy gradient make policy gradient approaches look much more attractive.<\/li>\n<\/ol>\n

    Edit: added one that I forgot.<\/p>\n","protected":false},"excerpt":{"rendered":"

    This year’s ICML had several papers which I want to read through more carefully and understand better. Chun-Liang Li, Hsuan-Tien Lin, Condensed Filter Tree for Cost-Sensitive Multi-Label Classification. Several tricks accumulate to give a new approach for addressing cost sensitive multilabel classification. Nikos Karampatziakis and Paul Mineiro, Discriminative Features via Generalized Eigenvectors. An efficient, effective … <\/p>\n

    Continue reading “Interesting papers at ICML 2014”<\/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":[33,29,18],"tags":[],"class_list":["post-2758","post","type-post","status-publish","format-standard","hentry","category-conferences","category-machine-learning","category-papers"],"_links":{"self":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/2758","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=2758"}],"version-history":[{"count":0,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/2758\/revisions"}],"wp:attachment":[{"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}