{"id":319190,"date":"2016-11-11T13:07:43","date_gmt":"2016-11-11T21:07:43","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=319190"},"modified":"2018-07-25T15:44:15","modified_gmt":"2018-07-25T22:44:15","slug":"nips-2016-microsoft-research","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/nips-2016-microsoft-research\/","title":{"rendered":"Microsoft at NIPS 2016"},"content":{"rendered":"<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.google.com\/maps\/place\/Centre+de+Convencions+Internacional+de+Barcelona+(CCIB)\/@41.409407,2.219077,13z\/data=!4m13!1m7!3m6!1s0x12a4a350d03b2209:0x8af71e0f75af7dc6!2sCentre+de+Convencions+Internacional+de+Barcelona+(CCIB)!3b1!8m2!3d41.409407!4d2.2190772!3m4!1s0x12a4a350d03b2209:0x8af71e0f75af7dc6!8m2!3d41.409407!4d2.2190772\" target=\"_blank\" rel=\"noopener\">Centre Convencions Internacional Barcelona (CCIB)<\/a><\/p>\n<p><strong>News:<\/strong><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/making-better-use-of-the-crowd\/\" target=\"_blank\" rel=\"noopener\">Making better use of the crowd<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/substance-not-hype-powers-ai-excitement-premier-machine-learning-conference\/\" target=\"_blank\" rel=\"noopener\">Substance, not hype, powers AI excitement at premier machine learning conference<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/blogs.microsoft.com\/next\/?p=58544\" target=\"_blank\" rel=\"noopener\">As machine learning breakthroughs abound, researchers look to democratize benefits<\/a><\/p>\n<p><strong>Machine learning opportunities at Microsoft:<\/strong><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/mljobs_china\">Click here for opportunities in China<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/mljobs_india\">Click here for opportunities in India<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/mljobs_munich\">Click here for opportunities in Munich<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/mljobs_uk\">Click here for opportunities in the UK<\/a><\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/mljobs_us\">Click here for opportunities in the US<\/a><\/p>\n<p><strong>Paper Legend card game<\/strong><\/p>\n<p>Printable version &#8211; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2016\/11\/NIPS_paper_legend_print_home_part1.pdf\">part 1<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2016\/11\/NIPS_paper_legend_print_home_part2.pdf\">part 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NIPS 2016 is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr_startdate":"2016-12-05","msr_enddate":"2016-12-10","msr_location":"Barcelona, Spain","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/nips.cc\/accounts\/login\/?next=\/Register\/view-registration","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":true,"msr_private_event":false,"footnotes":""},"research-area":[13556],"msr-region":[239178],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-319190","msr-event","type-msr-event","status-publish","hentry","msr-research-area-artificial-intelligence","msr-region-europe","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<a href=\"https:\/\/www.google.com\/maps\/place\/Centre+de+Convencions+Internacional+de+Barcelona+(CCIB)\/@41.409407,2.219077,13z\/data=!4m13!1m7!3m6!1s0x12a4a350d03b2209:0x8af71e0f75af7dc6!2sCentre+de+Convencions+Internacional+de+Barcelona+(CCIB)!3b1!8m2!3d41.409407!4d2.2190772!3m4!1s0x12a4a350d03b2209:0x8af71e0f75af7dc6!8m2!3d41.409407!4d2.2190772\" target=\"_blank\" rel=\"noopener\">Centre Convencions Internacional Barcelona (CCIB)<\/a>\r\n\r\n<strong>News:<\/strong>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/making-better-use-of-the-crowd\/\" target=\"_blank\" rel=\"noopener\">Making better use of the crowd<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/substance-not-hype-powers-ai-excitement-premier-machine-learning-conference\/\" target=\"_blank\" rel=\"noopener\">Substance, not hype, powers AI excitement at premier machine learning conference<\/a>\r\n\r\n<a href=\"http:\/\/blogs.microsoft.com\/next\/?p=58544\" target=\"_blank\" rel=\"noopener\">As machine learning breakthroughs abound, researchers look to democratize benefits<\/a>\r\n\r\n<strong>Machine learning opportunities at Microsoft:<\/strong>\r\n\r\n<a href=\"https:\/\/aka.ms\/mljobs_china\">Click here for opportunities in China<\/a>\r\n\r\n<a href=\"https:\/\/aka.ms\/mljobs_india\">Click here for opportunities in India<\/a>\r\n\r\n<a href=\"https:\/\/aka.ms\/mljobs_munich\">Click here for opportunities in Munich<\/a>\r\n\r\n<a href=\"https:\/\/aka.ms\/mljobs_uk\">Click here for opportunities in the UK<\/a>\r\n\r\n<a href=\"https:\/\/aka.ms\/mljobs_us\">Click here for opportunities in the US<\/a>\r\n\r\n<strong>Paper Legend card game<\/strong>\r\n\r\nPrintable version - <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2016\/11\/NIPS_paper_legend_print_home_part1.pdf\">part 1<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2016\/11\/NIPS_paper_legend_print_home_part2.pdf\">part 2<\/a>","tab-content":[{"id":0,"name":"","content":"<img class=\"alignright wp-image-321758\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/SG-RGB-447x1024.jpg\" alt=\"sg-rgb\" width=\"300\" height=\"687\" \/>The Thirtieth Annual Conference on Neural Information Processing Systems (<a href=\"https:\/\/nips.cc\/\" target=\"_blank\" rel=\"noopener\">NIPS<\/a>) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.\r\n<h2>NIPS Tutorial Co-Chair<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/na01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fresearch%2Fpeople%2Fwallach%2F&amp;data=02%7C01%7Clclawson%40microsoft.com%7Ccbc9fe1e99a14444d52408d41a3cf267%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636162296450255103&amp;sdata=S8vo18zzMWFaZsfke0AnTBN0c5nHwjLoZg6SZphpycQ%3D&amp;reserved=0\" target=\"_blank\" rel=\"noopener\">Hanna Wallach<\/a><\/li>\r\n<\/ul>\r\n<h2>Invited Speakers<\/h2>\r\n<ul>\r\n \t<li><a href=\"http:\/\/www.filmnips.com\/\" target=\"_blank\" rel=\"noopener\">The Future of Interactive Machine Learning<\/a>\u00a0featuring <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/eckamar\/\" target=\"_blank\" rel=\"noopener\">Ece Kamar<\/a><\/li>\r\n \t<li><a href=\"https:\/\/mainatnips.github.io\/\" target=\"_blank\" rel=\"noopener\">Machine Intelligence Workshop<\/a>\u00a0featuring\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fdiaz\/\" target=\"_blank\" rel=\"noopener\">Fernando Diaz<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\" target=\"_blank\" rel=\"noopener\">Katja Hofmann<\/a><\/li>\r\n<\/ul>\r\n<h2>Tutorials<\/h2>\r\n<ul>\r\n \t<li><a href=\"http:\/\/www.jennwv.com\/projects\/crowdtutorial.html\" target=\"_blank\" rel=\"noopener\">Crowdsourcing: Beyond Label Generation<\/a> by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\" target=\"_blank\" rel=\"noopener\">Jennifer Wortman Vaughan<\/a><\/li>\r\n<\/ul>\r\n<h2>Workshops<\/h2>\r\n<h3>December 9:<\/h3>\r\n<ul>\r\n \t<li><a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=6213\" target=\"_blank\" rel=\"noopener\">Adversarial Training<\/a> by David Lopez-Paz, Leon Bottou, Alec Radford\r\n@11:30\u201312:00 PM | <a href=\"https:\/\/sites.google.com\/site\/nips2016adversarial\/\" target=\"_blank\" rel=\"noopener\">Training Generative Neural Samplers using Variational Divergence Minimization<\/a> by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/senowozi\/\" target=\"_blank\" rel=\"noopener\">Sebastian Nowozin<\/a><\/li>\r\n \t<li><a href=\"http:\/\/ciml.chalearn.org\/\" target=\"_blank\" rel=\"noopener\">Challenges in Machine Learning: Gaming &amp; Education<\/a>\u00a0by Isabelle Guyon, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a>, Bal\u00e1zs K\u00e9gl, Ben Hamner, Sergio Escalera<\/li>\r\n \t<li><a href=\"http:\/\/crowdml.cc\/nips2016\/\" target=\"_blank\" rel=\"noopener\">Crowdsourcing and Machine Learning<\/a>\u00a0by Adish Singla, Rafael Frongillo,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mavena\/\" target=\"_blank\" rel=\"noopener\">Matteo Venanzi\r\n<\/a>@9:05\u20139:55 AM | The Communication Network within the Crowd by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jenn\/\" target=\"_blank\" rel=\"noopener\">Jennifer Wortman Vaughn<\/a><\/li>\r\n \t<li><a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/manik\/events\/xc16\/\" target=\"_blank\" rel=\"noopener\">Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces<\/a>\u00a0by Moustapha Cisse, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/manik\/\" target=\"_blank\" rel=\"noopener\">Manik Varma<\/a>, Samy Bengio<\/li>\r\n \t<li><a href=\"https:\/\/sites.google.com\/site\/structuredlearning16\/\" target=\"_blank\" rel=\"noopener\">Learning in High Dimensions with Structure<\/a>\u00a0by Nikhil Rao, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/prajain\/\" target=\"_blank\" rel=\"noopener\">Prateek Jain<\/a>, Hsiang-Fu Yu, Ming Yuan, Francis Bach<\/li>\r\n<\/ul>\r\n<h3>December 10:<\/h3>\r\n<ul>\r\n \t<li><a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=6251\" target=\"_blank\" rel=\"noopener\">Let's Discuss: Learning Methods for Dialogue<\/a>\u00a0by Hal Daume III, Paul Mineiro, Amanda Stent, Jason E Weston<\/li>\r\n \t<li><a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=6236\" target=\"_blank\" rel=\"noopener\">Machine Learning in Computational Biology<\/a>\u00a0by Gerald Quon, Sara Mostafavi, James Y Zou, Barbara Engelhardt, Oliver Stegle,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fusi\/\" target=\"_blank\" rel=\"noopener\">Nicolo Fusi<\/a><\/li>\r\n \t<li><a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=6248\" target=\"_blank\" rel=\"noopener\">Machine Learning Systems<\/a>\u00a0by Aparna Lakshmiratan, Li Erran Li,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sidsen\/\" target=\"_blank\" rel=\"noopener\">Siddhartha Sen<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/slbird\/\" target=\"_blank\" rel=\"noopener\">Sarah Bird<\/a>,\u00a0Hussein Mehanna<\/li>\r\n \t<li><a href=\"http:\/\/opt-ml.org\/schedule.html\" target=\"_blank\" rel=\"noopener\">Optimization for Machine Learning<\/a> by Francis Bach, Niao He,\u00a0Sashank J. Reddi,\u00a0Suvrit Sra\r\n@11:00\u201311:45 AM | Kernel-based Methods for Bandit Convex Optimization by Sebastien Bubeck<\/li>\r\n<\/ul>\r\n<h2>Demonstrations<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-malmo\/\" target=\"_blank\" rel=\"noopener\">Project Malmo - Minecraft for AI Research<\/a>\u00a0by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\" target=\"_blank\" rel=\"noopener\">Katja Hofmann<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/matjoh\/\" target=\"_blank\" rel=\"noopener\">Matthew A Johnson<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fdiaz\/\" target=\"_blank\" rel=\"noopener\">Fernando Diaz<\/a>,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/alekha\/\" target=\"_blank\" rel=\"noopener\">Alekh Agarwal<\/a>, Tim Hutton, David Bignell,\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/evelynev\/\" target=\"_blank\" rel=\"noopener\">Evelyne Viegas<\/a><\/li>\r\n<\/ul>\r\n<h2>Accepted papers<\/h2>\r\n<h3>Oral presentations:<\/h3>\r\n<ul>\r\n \t<li>\"<a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7438\">Deep Learning for Predicting Human Strategic Behavior in Deep Learning<\/a>\" by\u00a0Jason S Hartford, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jrwright\/\" target=\"_blank\" rel=\"noopener\">James R Wright<\/a>, Kevin Leyton-Brown\r\n@4:40 - 5:00 PM | December 6<\/li>\r\n \t<li>\"<a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7457\" target=\"_blank\" rel=\"noopener\">Poisson-Gamma dynamical systems<\/a>\" by\u00a0Aaron Schein, UMass Amherst; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\" target=\"_blank\" rel=\"noopener\">Hanna Wallach<\/a>, Microsoft;\u00a0Mingyuan Zhou, University of Texas at Austin\r\n@11:20 - 11:40 AM | December 7<\/li>\r\n<\/ul>\r\n<h3>Poster presentations:<\/h3>\r\n<ul>\r\n \t<li>\"<a href=\"https:\/\/www.arxiv.org\/abs\/1606.00709\" target=\"_blank\" rel=\"noopener\">f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization<\/a>\" by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/senowozi\/\" target=\"_blank\" rel=\"noopener\">Sebastian Nowozin<\/a>, Microsoft; Botond Cseke, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ryoto\/\" target=\"_blank\" rel=\"noopener\">Ryota Tomioka<\/a>,\u00a0Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1605.06409v2.pdf\" target=\"_blank\" rel=\"noopener\">R-FCN: Object Detection via Region-based Fully Convolutional Networks<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jifdai\/\" target=\"_blank\" rel=\"noopener\">Jifeng Dai<\/a>, Microsoft; Yi Li, Tsinghua University; Kaiming He, Microsoft; Jian Sun, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1611.00179\" target=\"_blank\" rel=\"noopener\">Dual Learning for Machine Translation<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dihe\/\" target=\"_blank\" rel=\"noopener\">Di He<\/a>, Microsoft; Yingce Xia, USTC; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\" target=\"_blank\" rel=\"noopener\">Tao Qin<\/a>, Microsoft; Liwei Wang; Nenghai Yu, USTC; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tyliu\/\" target=\"_blank\" rel=\"noopener\">Tie-Yan Liu<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wyma\/\" target=\"_blank\" rel=\"noopener\">Wei-Ying Ma<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1602.02202.pdf\" target=\"_blank\" rel=\"noopener\">Efficient Second Order Online Learning by Sketching<\/a>\" by Haipeng Luo, Princeton University; Alekh Agarwal, Microsoft; Nicol\u00f2 Cesa-Bianchi; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\" target=\"_blank\" rel=\"noopener\">John Langford<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1611.01276\" target=\"_blank\" rel=\"noopener\">A Communication-Efficient Parallel Algorithm for Decision Tree<\/a>\" by\u00a0Qi Meng, Peking University; Guolin Ke, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taifengw\/\" target=\"_blank\" rel=\"noopener\">Taifeng Wang<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/weic\/\" target=\"_blank\" rel=\"noopener\">Wei Chen<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/qiwye\/\" target=\"_blank\" rel=\"noopener\">Qiwei Ye<\/a>, Microsoft; Zhi-Ming Ma, Academy of Mathematics and Systems Science at the Chinese Academy of Sciences; Tie-Yan Liu, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1610.09780.pdf\" target=\"_blank\" rel=\"noopener\">Flexible Models for Microclustering with Applications to Entity Resolution<\/a>\" by\u00a0Brenda Betancourt, Duke University; Giacomo Zanella, The University of Warick; Jeffrey Miller, Duke University; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wallach\/\" target=\"_blank\" rel=\"noopener\">Hanna Wallach<\/a>, Microsoft;\u00a0Abbas Zaidi, Duke University; Rebecca C. Steorts, Duke University<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1602.06042.pdf\">Structured Sparse Regression via Greedy Hard Thresholding<\/a>\" by Prateek Jain, Microsoft; Nikhil Rao; Inderjit Dhillon<\/li>\r\n \t<li>\"<a href=\"https:\/\/pdfs.semanticscholar.org\/373a\/73371f9d59787d6388a83a059a2aedd11959.pdf\" target=\"_blank\" rel=\"noopener\">Contextual-MDPs for PAC Reinforcement Learning with Rich Observations<\/a>\" by\u00a0Akshay Krishnamurthy; Alekh Agarwal, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jcl\/\">John Langford<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7134\" target=\"_blank\" rel=\"noopener\">Mixed Linear Regression with Multiple Components<\/a>\" by\u00a0Kai Zhong, University of Texas at Austin; Prateek Jain, Microsoft; Inderjit Dhillon<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1502.05890.pdf\">Contextual semibandits via supervised learning oracles<\/a>\" by Akshay Krishnamurthy; Alekh Agarwal, Microsoft; Miro Dudik<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1607.08211.pdf\">Selective inference for group-sparse linear models<\/a>\" by Fan Yang, University of Chicago; Rina Foygel Barber; Prateek Jain, Microsoft; John Lafferty<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1605.07262.pdf\">Measuring Neural Net Robustness with Constraints<\/a>\" by\u00a0Osbert Bastani, Stanford University; Yani Ioannou, University of Cambridge; Leonidas Lampropoulos, University of Pennsylvania; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dimitris\/\">Dimitrios Vytiniotis<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adityan\/\">Aditya Nori<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/antcrim\/\">Antonio Criminisi<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"http:\/\/pages.cs.wisc.edu\/~jerryzhu\/pub\/aloe.pdf\" target=\"_blank\" rel=\"noopener\">Active Learning with Oracle Epiphany<\/a>\" by\u00a0Tzu-Kuo Huang, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lihongli\/\">Lihong Li<\/a>, Microsoft; Ara Vartanian, University of Wisconsin-Madison; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/samershi\/\">Saleema Amershi<\/a>, Microsoft; Xiaojin Zhu<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1606.02077\">Regret Bounds for Non-decomposable Metrics with Missing Labels<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-nanata\/\">Nagarajan Natarajan<\/a>, Microsoft; Prateek Jain, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1507.06738\">Linear Contextual Bandits with Knapsacks<\/a>\" by\u00a0Shipra Agrawal; Nikhil Devanur, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7237\" target=\"_blank\" rel=\"noopener\">Online Pricing with Strategic and Patient Buyers<\/a>\" by\u00a0Michal Feldman, TAU; Tomer Koren, Technion-Israel Institute of Technology; Roi Livni, Huji; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mansour\/\">Yishay Mansour<\/a>, Microsoft; Aviv Zohar, Huji<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/pdf\/1602.04799.pdf\">Quantum Perceptron Models<\/a>\" by\u00a0Ashish Kapoor;\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/nawiebe\/\">Nathan Wiebe<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ksvore\/\">Krysta M. Svore<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7162\" target=\"_blank\" rel=\"noopener\">BBO-DPPs: Batched Bayesian Optimization via Determinantal Point Processes<\/a>\" by\u00a0Tarun Kathuria, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/amitdesh\/\">Amit Deshpande<\/a>, Microsoft; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/pkohli\/\">Pushmeet Kohli<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1606.06121\" target=\"_blank\" rel=\"noopener\">Quantifying and Reducing Stereotypes in Word Embeddings<\/a>\" by\u00a0Tolga Bolukbasi, Boston University; Kai-Wei Chang; James Zou; Venkatesh Saligrama; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adum\/\">Adam Kalai<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1610.09893\">LightRNN: Memory and Computation-Efficient Recurrent Neural Network<\/a>\" by Xiang Li, NJUST; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a>, Microsoft; Jian Yang; Xiaolin Hu; Tie-Yan Liu, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1605.08370v1\" target=\"_blank\" rel=\"noopener\">Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent<\/a>\" by Chi Jin, UC Berkeley; Sham Kakade; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/praneeth\/\">Praneeth Netrapalli<\/a>, Microsoft<\/li>\r\n \t<li>\"<a href=\"https:\/\/arxiv.org\/abs\/1511.06382\" target=\"_blank\" rel=\"noopener\">Iterative Refinement of the Approximate Posterior for Directed Belief Networks<\/a>\" by Rex Devon Hjelm, University of New Mexico; Ruslan Salakhutdinov, University of Toronto; Kyunghyun Cho, University of Montreal; Nebojsa Jojic, Microsoft; Vince Calhoun, Mind Research Network; Junyoung Chung, University of Montreal<\/li>\r\n<\/ul>"}],"msr_startdate":"2016-12-05","msr_enddate":"2016-12-10","msr_event_time":"","msr_location":"Barcelona, Spain","msr_event_link":"https:\/\/nips.cc\/accounts\/login\/?next=\/Register\/view-registration","msr_event_recording_link":"","msr_startdate_formatted":"December 5, 2016","msr_register_text":"Watch now","msr_cta_link":"https:\/\/nips.cc\/accounts\/login\/?next=\/Register\/view-registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":null,"event_excerpt":"NIPS 2016 is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[238326,439536],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/319190"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/319190\/revisions"}],"predecessor-version":[{"id":497360,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/319190\/revisions\/497360"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=319190"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=319190"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=319190"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=319190"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=319190"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=319190"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=319190"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=319190"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=319190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}