{"id":609480,"date":"2019-09-19T17:37:20","date_gmt":"2019-09-20T00:37:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=609480"},"modified":"2020-04-27T08:56:05","modified_gmt":"2020-04-27T15:56:05","slug":"neurips-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2019\/","title":{"rendered":"Microsoft at NeurIPS 2019"},"content":{"rendered":"

Venue:<\/strong> Vancouver Convention Center (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> NeurIPS 2019 (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is excited to be a Diamond sponsor of the 33rd annual conference on Neural Information Processing Systems. Over 130 of our researchers are involved in spotlight sessions, presentations, symposiums, posters, accepted papers, and workshops.<\/p>\n","protected":false},"featured_media":609495,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-12-08","msr_enddate":"2019-12-14","msr_location":"Vancouver, Canada","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/neurips.cc\/Lottery","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-609480","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"Venue:<\/strong> Vancouver Convention Center<\/a>\r\n\r\nWebsite:<\/strong> NeurIPS 2019<\/a>","tab-content":[{"id":0,"name":"About","content":"Microsoft is a proud Diamond sponsor of the 33rd annual conference on Neural Information Processing Systems<\/a>. Over 300 of our researchers are involved in spotlight sessions, presentations, symposiums, posters, accepted papers, and workshops. Stop by our booth (#301) to chat with our experts, see demos of our latest research and find out about career opportunities<\/a> with Microsoft.\r\n

Organizing Committee<\/h3>\r\nHanna Wallach<\/a>, General Chair\r\nDanielle Belgrave<\/a>, Tutorial Chair\r\nJenn Wortman Vaughan<\/a>, Workshop Chair\r\n

Neural Information Processing Systems Foundation Board<\/h3>\r\nHanna Wallach<\/a>, Board member\r\n

Microsoft Attendees<\/h3>\r\nAshkan Aazami\r\nEslam Abdelreheem\r\nShady Abdelrehim\r\nMohamed Abedelmalik\r\nRobin Abraham\r\nAlekh Agarwal<\/a>\r\nSaurabh Agarwal\r\nMehdi Aghagolzadeh\r\nJohn Agosta\r\nRobert Aichner\r\nPelkins Ajanoh\r\nZeyuan Allen-Zhu<\/a>\r\nJavier Alvarez-Valle<\/a>\r\nAnton Amirov\r\nEmmanuel Awa\r\nAhmed Awadallah<\/a>\r\nPhilip Bachman<\/a>\r\nNiranjan Baddam\r\nSolon Barocas<\/a>\r\nEmad Barsoum<\/a>\r\nDanielle Belgrave<\/a>\r\nPaul Bennett<\/a>\r\nEbrahim Beyrami\r\nSujeeth Bharadwaj\r\nAnuj Bhatia\r\nEnes Bilgin\r\nSarah Bird<\/a>\r\nChristopher Bishop<\/a>\r\nChristian Borgs<\/a>\r\nChris Brockett<\/a>\r\nMarc Brockschmidt<\/a>\r\nJustin Bronder\r\nSebastien Bubeck<\/a>\r\nWilliam Buchwalter<\/a>\r\nJames Budnik\r\nAlejandro Buendia\r\nGuihong Cao\r\nRich Caruana<\/a>\r\nAsli Celikyilmaz<\/a>\r\nUrszula Chajewska\r\nDoran Chakraborty\r\nPreetom Chakraborty\r\nWang Chao\r\nJennifer Chayes<\/a>\r\nDeqing Chen\r\nWei Chen<\/a>\r\nIsabel Chien<\/a>\r\nKamil Ciosek<\/a>\r\nRyan Congdon\r\nAna-Maria Constantin\r\nMarc-Alexandre C\u00f4t\u00e9<\/a>\r\nCamille Couturier<\/a>\r\nMarkus Cozowicz<\/a>\r\nDaniel Crankshaw\r\nCarlo Curino<\/a>\r\nRoss Cutler\r\nBita Darvish Rouhani<\/a>\r\nHal Daum\u00e9 III<\/a>\r\nDave DeBarr\r\nOfer Dekel<\/a>\r\nCrystal Deng\r\nSarah D'Ettorre\r\nSam Devlin<\/a>\r\nDebadeepta Dey<\/a>\r\nGabriel Dominguez Conde\r\nHaoyu Dong<\/a>\r\nLi Dong<\/a>\r\nYihe Dong\r\nNan Duan<\/a>\r\nMiro Dudik<\/a>\r\nSusan Dumais<\/a>\r\nJason Eisner\r\nJoyce Fang\r\nMehdi Fatemi<\/a>\r\nTao Feng\r\nRoland Fernandez<\/a>\r\nMikael Figueroa\r\nSenja Filipi\r\nNicole Fitzgerald\r\nAndrew Fitzgibbon<\/a>\r\nRana Forsati\r\nVictor Fragoso<\/a>\r\nNicolo Fusi<\/a>\r\nMichel Galley<\/a>\r\nZhe Gan\r\nKris Ganjam<\/a>\r\nXiang Gao<\/a>\r\nRaluca Georgescu<\/a>\r\nRan Gilad-Bachrach<\/a>\r\nIgor Gitman\r\nGarrett Goh\r\nVikas Gosain\r\nSuriya Gunasekar<\/a>\r\nDevin Gunson\r\nXuenan Guo\r\nAbhishek Gupta\r\nNicholas Gyde\r\nBenjamin Han\r\nJudy Hanwen Shen\r\nMatthew Hausknecht<\/a>\r\nXiang He\r\nYuxiong He<\/a>\r\nAllison Hegel\r\nMaggie Hei<\/a>\r\nMikael Henaff<\/a>\r\nR Devon Hjelm<\/a>\r\nKatja Hofmann<\/a>\r\nEric Horvitz<\/a>\r\nSaghar Hosseini<\/a>\r\nJason Hsu\r\nShih-Chung Hsu\r\nEdward Hu\r\nYameng Huang\r\nStephanie Hyland<\/a>\r\nScott Inglis\r\nMatteo Interlandi\r\nPrateek Jain<\/a>\r\nShantanu Jain\r\nMihai Jalobeanu<\/a>\r\nMinwoo Jeong\r\nHenry Jerez\r\nSmriti Jha\r\nAnup Kadkol\r\nAdam Kalai<\/a>\r\nKeiji Kanazawa\r\nPanashe Kanengoni\r\nAshish Kapoor<\/a>\r\nNikos Karampatziakis<\/a>\r\nMeha Kaushik\r\nEmre Kiciman<\/a>\r\nAerin Kim\r\nJulia Kiseleva\r\nAndrey Kolobov<\/a>\r\nXC Kong\r\nHarish Krishna\r\nAkshay Krishnamurthy<\/a>\r\nSandip Kulkarni\r\nSamir Kumar\r\nNoboru Kuno<\/a>\r\nNate Kushman<\/a>\r\nMinKyoung Kang\r\nHunter Lang\r\nJohn Langford<\/a>\r\nMichael Lazos<\/a>\r\nXuan Li\r\nYi Li\r\nYingzhen Li<\/a>\r\nZhen Li\r\nZhuowei Li\r\nOlga Liakhovich\r\nHongwei Liang\r\nFang Liu\r\nTie-Yan Liu<\/a>\r\nDaniel Lo<\/a>\r\nCheng Lu\r\nBrendan Lucier<\/a>\r\nRoman Lutz\r\nPatrick MacAlpine<\/a>\r\nLester Mackey<\/a>\r\nRatnesh Madaan\r\nDivyat Mahajan\r\nJourney McDowell\r\nDaniel McDuff<\/a>\r\nAndrew McNamara<\/a>\r\nTed Meeds<\/a>\r\nChristopher Meek<\/a>\r\nSoroush Mehri<\/a>\r\nLevi Melnick\r\nVanessa Milan<\/a>\r\nPaul Mineiro<\/a>\r\nAnna Mitenkova\r\nAzadeh Mobasher\r\nCaitlin Mullock\r\nTsendsuren Munkhdalai<\/a>\r\nCameron Musco\r\nMridu Narang\r\nTristan Naumann<\/a>\r\nPraneeth Netrapalli<\/a>\r\nFanny Nina Paravecino\r\nElnaz Noori\r\nHarsha Nori\r\nEhi Nosakhare\r\nBesmira Nushi<\/a>\r\nTim O'Brien\r\nCassandra Oduola\r\nAdrian O'Grady<\/a>\r\nOreoluwa Ogundipe\r\nOlga Ohrimenko<\/a>\r\nOzan Oktay<\/a>\r\nMiruna Oprescu<\/a>\r\nHamid Palangi<\/a>\r\nPraveen Palanisamy\r\nRavi Pandya<\/a>\r\nKaushal Paneri\r\nAbhishek Panigrahi\r\nMikhail Parakhin\r\nRaj Parihar\r\nDevangkumar Patel\r\nVanja Paunic\r\nAndi Peng<\/a>\r\nDmitrij Petters<\/a>\r\nVasilii Pisar\r\nAlex Polozov<\/a>\r\nHoifung Poon<\/a>\r\nPeter Potash<\/a>\r\nForough Poursabzi-Sangdeh<\/a>\r\nIshita Prasad\r\nTao Qin<\/a>\r\nChris Quirk<\/a>\r\nSravanthi Rajanala\r\nSaravanakumar Rajmohan\r\nGonzalo Ramos<\/a>\r\nAbhishek Rao\r\nIlya Razenshteyn<\/a>\r\nMichael Revow\r\nJordi Ribas\r\nMatt Richardson\r\nTyler Romero\r\nNathaniel Rose\r\nCorbin Rosset\r\nMarco Rossi<\/a>\r\nVictor Ruehle\r\nPatricia Ryan\r\nHadi Salman\r\nMathew Salvaris\r\nTobias Schnabel<\/a>\r\nCrystal Schroeder\r\nSiddhartha Sen<\/a>\r\nSamira Shabanian<\/a>\r\nMatineh Shaker\r\nRichika Sharan\r\nAmit Sharma<\/a>\r\nVighnesh Shiv\r\nVictor Shnayder\r\nYuanchao Shu<\/a>\r\nAmy Siebenthaler\r\nJonathan Sinai\r\nAleksandrs Slivkins<\/a>\r\nBryan Smith\r\nBrandon Smock\r\nPaul Smolensky<\/a>\r\nYale Song<\/a>\r\nAlessandro Sordoni<\/a>\r\nAnirudh Srinivasan\r\nYann Stadnicki<\/a>\r\nLuke Stark<\/a>\r\nWilliam Stasior\r\nRoss Story\r\nPaul Stubbs\r\nJan Stuehmer<\/a>\r\nShih-Chieh Su\r\nShize Su\r\nKaheer Suleman<\/a>\r\nNick Switanek\r\nVasilis Syrgkanis<\/a>\r\nSaurabh Tiwary\r\nRemi Tachet des Combes<\/a>\r\nAbe Taha\r\nXu Tan<\/a>\r\nYi Tang\r\nRyutaro Tanno\r\nRyota Tomioka<\/a>\r\nKenneth Tran<\/a>\r\nMarc Tremblay\r\nAnusua Trivedi\r\nSebastian Tschiatschek<\/a>\r\nRutger van Haasteren\r\nTempest van Schaik\r\nHarm Van Seijen<\/a>\r\nHarsha Vardhan Simhadri\r\nSai Vemprala\r\nGangadharan Venkatasubramanian\r\nGovert Verkes<\/a>\r\nEvelyne Viegas<\/a>\r\nFelipe Vieira Frujeri<\/a>\r\nVibhav Vineet<\/a>\r\nDuncan Wadsworth\r\nChi Wang<\/a>\r\nJingyan Wang\r\nJunhua Wang\r\nMarkus Weimer<\/a>\r\nNile Wilson\r\nDavid Wipf<\/a>\r\nJennifer Wortman Vaughan<\/a>\r\nLin Xiao<\/a>\r\nFaith Xu\r\nYixi Xu\r\nXinwei Xue\r\nYadollah Yaghoobzadeh<\/a>\r\nYulan Yan\r\nGreg Yang<\/a>\r\nSiyu Yang\r\nSergey Yekhanin<\/a>\r\nLegg Yeung<\/a>\r\nAli Zaidi\r\nYordan Zaykov<\/a>\r\nCheng Zhang<\/a>\r\nChicheng Zhang\r\nDongmei Zhang<\/a>\r\nHang Zhang\r\nHaozhe Zhang\r\nHuishuai Zhang<\/a>\r\nJack Zhang\r\nWeixing Zhang\r\nYizhe Zhang<\/a>\r\nJing Zhao\r\nLi Zhao<\/a>\r\nLingling Zheng\r\nZhiyong Zheng\r\nChenguang Zhu<\/a>"},{"id":1,"name":"Tutorials + Workshops","content":"

Tutorials<\/h2>\r\n

Monday, December 9<\/h3>\r\n8:30\u00a0AM\u201310:30 AM | West Hall C + B3\r\nImitation Learning and its Application to Natural Language Generation<\/strong><\/a>\r\nKyunghyun Cho, Hal Daum\u00e9 III<\/a>\r\n\r\n2:45 PM\u20134:45 PM | West Hall C + B3\r\nReinforcement Learning: Past, Present, and Future Perspectives<\/strong><\/a>\r\nKatja Hofmann<\/a>\r\n

Workshops<\/h2>\r\n

Sunday, December 8<\/h3>\r\n9:00 AM\u20131:00 PM | West 208-209\r\nVowpal Wabbit for real world reinforcement learning<\/strong>\r\nOrganizers: John Langford<\/a>, Rodrigo Kumpera<\/a>, Jack Gerrits<\/a>, Yann Stadnicki<\/a>, Marco Rossi<\/a>\r\n

Monday, December 9<\/h3>\r\n2:00 PM\u20135:00 PM | East 8 + 15\r\nQueer in AI<\/strong><\/a>\r\nCo-organizers: Andrew McNamara<\/a>, Luke Stark<\/a>\r\nPanelist: Hanna Wallach<\/a>\r\n\r\n6:30 PM\u20138:00 PM | East Exhibition Hall B | Joint Affinity Groups Poster Session<\/a>\r\n

Co-opNet: Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow<\/strong>\r\nSaadia Gabriel, Antoine Bosselut, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz<\/a>, Yejin Choi<\/p>\r\n

Non-Monotonic Sequential Text Generation<\/strong>\r\nKiant\u00e9 Brantley, Hal Daum\u00e9 III<\/a>, Kyunghyun Cho, Sean Welleck<\/p>\r\n

Queering AI Ethics Pedagogy and Practice<\/strong>\r\nLuke Stark<\/a>, Blake W Hawkins<\/p>\r\n7:00 AM\u20138:00 PM | East Hall C\r\nWomen in Machine Learning<\/strong><\/a>\r\nCo-organizer: Forough Poursabzi-Sangdeh<\/a>\r\n

An all-in-one network for dehazing and beyond<\/strong>\r\nBoyi Li, Xiulian Peng<\/a>, Zhangyang Wang, Jizheng Xu, Dan Feng<\/p>\r\n

Debunking Debiasing: A Critique of Bias Measurement in NLP<\/strong>\r\nSu Lin Blodgett, Hanna Wallach<\/a>, Hal Daum\u00e9 III<\/a>, Solon Barocas<\/a><\/p>\r\n

Efficient Data Deletion from Learned Models and Privacy Implications<\/strong>\r\nMary Anne Smart, James Zou, Zachary Izzo, Kamalika Chaudhuri<\/p>\r\n

Identification of Patterns in Cystic Fibrosis Physiotheraphy with Unsupervised Learning<\/strong>\r\nOlga Liakhovich<\/a>, Mihaela Curmei, Tempest van Schaik<\/a>, Bianca Furtuna<\/a>, Eleanor Main, Emma Raywood, Nicole Filipow, Kunal Kapoor, Helen Douglas<\/p>\r\n

Industrial Audio Classification with Music Domain Features<\/strong>\r\nPatricia A Ryan<\/a>, Chenhao Yang<\/strong><\/p>\r\n

Multi-model Deep Networks for Metastatic Cancert Detection using Biopsy Lymph Node Images<\/strong>\r\nAzadeh Mobasher<\/a>, Amin Mobasher<\/p>\r\n\r\n

Thursday, December 12<\/h3>\r\n7:00 PM\u201310:00 PM | West 220 - 222\r\n{Dis}Ability in AI<\/strong><\/a>\r\nPanelist: Costis Daskalakis, Katherine Heller, Emtiyaz Khan, Hugo Larochelle, Negar Rostamzadeh, Hanna Wallach<\/a>\r\n

Friday, December 13<\/h3>\r\n8:00 AM\u20136:00 PM | West 215 + 216\r\nCiML 2019: Machine Learning Competitions for All<\/strong><\/a>\r\nAdrienne Mendrik, Wei-Wei Tu, Isabelle Guyon, Evelyne Viegas<\/a>\r\n\r\n8:00 AM\u20136:00 PM | West Exhibition Hall A\r\nGraph Representation Learning<\/strong><\/a>\r\n

Building Dynamic Knowledge Graphs from Text-based Games<\/strong>\r\nMikul\u00e1\u0161 Zelinka, Xingdi Yuan<\/a>, Marc-Alexandre C\u00f4t\u00e9<\/a>, Romain Laroche<\/a>, Adam Trischler<\/a><\/p>\r\n8:20 AM\u20136:30 PM | West 223 - 224\r\nHuman-Centric Machine Learning<\/strong><\/a>\r\n

Do Machine Teachers Dream of Algorithms?<\/strong>\r\nGonzalo Ramos<\/a>, Christopher Meek<\/a>, Jina Suh<\/a>, Soroush Ghorashi<\/a>, Felicia Ng, Nicole Sultanum<\/p>\r\n

Weight of Evidence as a Basis for Human-Oriented Explanations<\/strong>\r\nDavid Alvarez-Melis<\/a>, Hal Daum\u00e9 III<\/a>, Jennifer Wortman Vaughan<\/a>, Hanna Wallach<\/a><\/p>\r\n

What Is a Proxy and Why Is It a Problem?<\/strong>\r\nMargarita Boyarskaya, Solon Barocas<\/a>, Hanna Wallach<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 109 + 110\r\nKR2ML \u2013 Knowledge Representation & Reasoning Meets Machine Learning<\/strong><\/a>\r\n

Channel Decomposition into Painting Actions<\/strong>\r\nShih-Chieh Su<\/a><\/p>\r\n

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization<\/strong>\r\nBeliz Gunel<\/a>, Chenguang Zhu<\/a>, Michael Zeng<\/a>, Xuedong Huang<\/a><\/p>\r\n

TP-N2F: Tensor Product Representation for Natural To Formal Language Generation<\/strong>\r\nKezhen Chen<\/a>, Qiuyuan Huang<\/a>, Hamid Palangi<\/a>, Paul Smolensky<\/a>, Kenneth D. Forbus, Jianfeng Gao<\/a><\/p>\r\n8:00 AM\u20136:40 PM | West Ballroom A\r\nMachine Learning for Health (ML4H): What makes machine learning in medicine different?<\/strong><\/a>\r\nAndrew Beam, Tristan Naumann<\/a>, Brett Beaulieu-Jones, Madalina Fiterau, Irene Y Chen, Samuel G Finlayson, Emily Alsentzer\r\nCo-organizer: Stephanie Hyland<\/a>\r\nSenior Advisory Committee Member: Tristan Naumann<\/a>\r\n\r\n8:00 AM\u20136:00 PM | West 121 + 122\r\nML for the Developing World (ML4D)<\/strong><\/a>\r\n

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India<\/strong>\r\nAnusua Trivedi<\/a>, Sumit Mukherjee<\/a>, Edmund Tse<\/a>, Anne Ewing<\/a>, Juan Lavista Ferres<\/a><\/p>\r\n8:00 AM\u20136:00 PM | East Meeting Rooms 11 + 12\r\nMLSys: Workshop on Systems for ML<\/strong><\/a>\r\nAparna Lakshmiratan, Siddhartha Sen<\/a>, Joseph Gonzalez, Dan Crankshaw, Sarah Bird<\/a>\r\n

Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving<\/strong>\r\nSupun Nakandala, Gyeong-In Yu, Markus Weimer<\/a>, Matteo Interlandi<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 114 + 115\r\nRetrospectives: A Venue for Self-Reflection in ML Research<\/strong><\/a>\r\nRyan Lowe, Yoshua Bengio, Joelle Pineau, Michela Paganini, Jessica Forde, Shagun Sodhani, Abhishek Gupta<\/a>, Joel Lehman, Peter Henderson, Kanika Madan\r\n\r\n8:00 AM\u20136:00 PM | West 205 - 207\r\nRobust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy<\/strong><\/a>\r\n

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons<\/strong>\r\nSolon Barocas<\/a>, Andrew Selbst, Manish Raghavan<\/p>\r\n8:00 AM\u20136:40 AM | East Ballroom A\r\nSafety and Robustness in Decision-making<\/strong><\/a>\r\n

Airborne Collision Avoidance Systems with Probabilistic Safety Barrier Certificates<\/strong>\r\nWenhao Luo, Ashish Kapoor<\/a><\/p>\r\n\r\n

Saturday, December 14<\/h3>\r\n8:00 AM\u20136:00 PM | East Meeting Rooms 11 + 12\r\nAI for Social Good<\/strong><\/a>\r\nFei Fang, Joseph Bullock, Marc-Antoine Dilhac, Brian P Green, Natalie Saltiel, Dhaval Adjodah, Jack Clark, Sean McGregor, Margaux Luck, Jonathan Penn, Tristan Sylvain, Genevi\u00e8ve Boucher, Sydney Swaine-Simon, Girmaw Abebe Tadesse, Myriam C\u00f4t\u00e9, Anna Bethke, Yoshua Bengio, Abhishek Gupta<\/a>\r\n\r\n8:00 AM\u20136:30 PM | West Exhibition Hall A\r\nBridging Game Theory and Deep Learning<\/strong><\/a>\r\n

Collaborative Machine Learning Markets<\/strong>\r\nOlga Ohrimenko<\/a>, Shruti Tople<\/a>, Sebastian Tschiatschek<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 217 - 219\r\nContext and Compositionality in Biological and Artificial Neural Systems<\/strong><\/a>\r\n

Factoring Content and Form in Explicitly Compositional Vector Representations<\/strong>\r\nPaul Smolensky<\/a><\/p>\r\n

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving<\/strong>\r\nImanol Schlag, Paul Smolensky<\/a>, Roland Fernandez<\/a>, Nebojsa Jojic<\/a>, J\u00fcrgen Schmidhuber, Jianfeng Gao<\/a><\/p>\r\n

Uncovering the compositional structure of vector representations with Role Learning Networks<\/strong>\r\nPaul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West Ballroom C\r\n\u201cDo the right thing\u201d: machine learning and causal inference for improved decision making<\/strong><\/a>\r\nMichele Santacatterina, Thorsten Joachims, Nathan Kallus, Adith Swaminathan<\/a>, David Sontag, Angela Zhou\r\n

Causal Transfer Random Forest: Leveraging Observational and Randomization Studies<\/strong>\r\nShuxi Zeng, Emre K\u0131c\u0131man<\/a>, Denis Charles<\/a>, Joel Pfeiffer<\/a>, Murat Ali Bayir<\/a><\/p>\r\n

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers<\/strong>\r\nDivyat Mahajan<\/a>, Amit Sharma<\/a><\/p>\r\n

Robust Neural Network for Causal Invariant Features Extraction<\/strong>\r\nShuxi Zeng, Pengchuan Zhang<\/a>, Denis Charles<\/a>, Eren Manavoglu<\/a>, Emre K\u0131c\u0131man<\/a><\/p>\r\n

Using a causal inference approach to measure the impact of a customer\u2019s attribute on product retention A case study on Microsoft Teams collaborative app<\/strong>\r\nMarie-Laure Charpignon, Liz Manrao<\/a>, Kamal Choudhary<\/a>, John Hoegger<\/a>, MinKyoung Kang<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 208 + 209\r\nDocument Intelligence<\/strong><\/a>\r\nNigel Duffy, Rama Akkiraju, Tania Bedrax Weiss, Paul Bennett<\/a>, Hamid Reza Motahari-Nezhad\r\n

Learning Structure for Text Generation<\/strong>\r\nAsli Celikyilmaz<\/a><\/p>\r\n8:00 AM\u20137:00 PM | West Exhibition Hall C\r\nDeep Reinforcement Learning<\/strong><\/a>\r\n

DRIFT: Deep Reinforcement Learning for Functional Software Testing<\/strong>\r\nLuke Harries, Rebekah Clarke, Timothy Chapman<\/a>, Swamy Nallamalli<\/a>, Levent Ozgur<\/a>, Shuktika Jain<\/a>, Alex Leung<\/a>, Steve Lim<\/a>, Aaron Dietrich<\/a>, Jose Miguel Hernandez-Lobato<\/a>, Tom Ellis<\/a>, Cheng Zhang<\/a>, Kamil Ciosek<\/a><\/p>\r\n

Interactive Fiction Games: A Colossal Adventure<\/strong>\r\nMatthew Hausknecht<\/a>, Prithviraj V Ammanabrolu, Marc-Alexandre C\u00f4t\u00e9<\/a>, Xingdi Yuan<\/a><\/p>\r\n9:00 AM\u20136:00 PM | West 118 \u2013 120\r\nEmergent Communication: Towards Natural Language<\/strong><\/a>\r\n

Playing log(N)-Questions over Sentences<\/strong>\r\nPeter Potash<\/a>, Kaheer Suleman<\/a><\/p>\r\n8:00 AM\u20136:00 PM | East Ballroom B\r\nFair ML in Healthcare<\/strong><\/a>\r\nSenior Advisory Committee Member: Tristan Naumann<\/a>\r\n\r\n8:00 AM\u20136:00 PM | West 211 \u2013 214\r\nLearning Transferable Skills<\/strong><\/a>\r\nInvited Speaker: Katja Hofmann<\/a>\r\n\r\n8:00 AM\u20136:00 PM | East 1 - 3\r\nMachine Learning for Autonomous Driving<\/strong><\/a>\r\n

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning\r\nPraveen Palanisamy<\/a><\/strong><\/p>\r\n8:00 AM\u20136:00 PM | West Ballroom B\r\nMachine Learning with Guarantees<\/strong><\/a>\r\n

No-Regret and Incentive-Compatible Prediction with Expert Advice<\/strong>\r\nRupert Freeman<\/a>, David Pennock<\/a>, Chara Podimata, Jennifer Wortman Vaughan<\/a><\/p>\r\n8:00 AM\u20136:45 PM | West 301 \u2013 305\r\nMedical Imaging meets NeurIPS<\/strong><\/a>\r\n

Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection<\/strong>\r\nAnusua Trivedi<\/a>, J. Desbiens, Ron Gross, S. Gupta, Juan Lavista Ferres<\/a>, Rahul Dodhia<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 202 - 204\r\nML For Systems<\/strong><\/a>\r\n

Reinforcement learning for bandwidth estimation and congestion control in real-time communications<\/strong>\r\nJoyce Fang<\/a>, Martin Ellis<\/a>, Bin Li<\/a>, Siyao Liu, Yasaman Hosseinkashi<\/a>, Michael Revow<\/a>, Albert Sadovnikov<\/a>, Ziyuan Liu<\/a>, Peng Cheng<\/a>, Sachin Ashok<\/a>, David Zhao<\/a>, Ross Cutler<\/a>, Yan Lu<\/a>, Johannes Gehrke<\/a><\/p>\r\n8:00 AM\u20136:00 PM | West 121 \u2013 122\r\nScience meets Engineering of Deep Learning<\/strong><\/a>\r\n

Non Gaussianity of Stochastic Gradient Noise<\/strong>\r\nAbhishek Panigrahi<\/a>, Raghav Somani, Navin Goyal<\/a>, Praneeth Netrapalli<\/a><\/p>\r\n8:00 AM\u20136:00 PM | East Ballroom C\r\nTackling Climate Change with ML<\/strong><\/a>\r\nDavid Rolnick, Alexandre Lacoste, Tegan Maharaj, Priya Donti, Lynn Kaack, John Platt, Jennifer Chayes<\/a>, Yoshua Bengio\r\nInvited Speaker: Lester Mackey<\/a>\r\n

Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon<\/strong>\r\nKiwan Maeng, Iskender Kushan<\/a>, Brandon Lucia, Ashish Kapoor<\/a><\/p>\r\n

Helping Reduce Environmental Impact of Aviation with Machine Learning<\/strong>\r\nAshish Kapoor<\/a><\/p>\r\n

Panel: Climate Change and AI<\/strong>\r\nYoshua Bengio, Andrew Ng, Carla Gomes, Lester Mackey<\/a>, Jeff Dean<\/p>\r\n8:00 AM\u20136:00 PM | West 205 - 207\r\nThe third Conversational AI workshop \u2013 today's practice and tomorrow's potential<\/strong><\/a>\r\nAlborz Geramifard, Jason Williams, Matt Henderson, Luis Lastras, Dilek Hakkani-Tur, Mari Ostendorf, Milica Gasic, Asli Celikyilmaz<\/a>\r\n\r\n9:00 AM\u201311:00 AM | West 116 \u2013 117 | Workshop \u2013 Competition Track Day 2\r\nThe MineRL Competition<\/strong><\/a>\r\nCo-organizers: William H. Guss, Mario Ynocente Castro, Cayden Codel, Katja Hofmann<\/a>, Brandon Houghton, Noboru Kuno<\/a>, Crissman Loomis, Keisuke Nakata, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Manuela Veloso, Phillip Wang\r\n\r\n4:15 PM | West 116 \u2013 117 | Competition\r\nGame of Drones Competition<\/strong><\/a>\r\nMatthew Brown, Guada Casuso<\/a>, Eric Cristofalo, Darius Garza<\/a>, Nicholas Gyde, Ashish Kapoor<\/a>, Ratnesh Madaan<\/a>, Keiko Nagami, Jim Piavis<\/a>, Davide Scaramuzza, Mac Schwager, Tim Taubner, Sai Vemprala<\/a>"},{"id":2,"name":"Posters","content":"

Tuesday, December 10<\/h3>\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #92\r\nLocally Private Gaussian Estimation<\/strong><\/a>\r\nMatthew Joseph, Janardhan Kulkarni<\/a>, Jieming Mao, Steven Wu\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #150\r\nCan SGD Learn Recurrent Neural Networks with Provable Generalization?<\/strong><\/a>\r\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #183\r\nDeep Generalized Method of Moments for Instrumental Variable Analysis<\/strong><\/a>\r\nAndrew Bennett, Nathan Kallus,\u00a0Tobias Schnabel<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #185\r\nMachine Learning Estimation of Heterogeneous Treatment Effects with Instruments<\/strong><\/a>\r\nVasilis Syrgkanis<\/a>, Victor Lei, Miruna Oprescu<\/a>, Maggie Hei<\/a>, Keith Battocchi<\/a>, Greg Lewis<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #198\r\nSuccessor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning<\/strong><\/a>\r\nDavid Janz, Jiri Hron, Przemys\u0142aw Mazur,\u00a0Katja Hofmann<\/a>, Jose Miguel Hernandez-Lobato<\/a>,\u00a0Sebastian Tschiatschek<\/a>\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #87\r\nTwin Auxilary Classifiers GAN<\/strong><\/a>\r\nMingming Gong, Yanwu Xu, Chunyuan Li<\/a>, Kun Zhang, Kayhan Batmanghelich\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #92\r\nLearning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers<\/strong><\/a>\r\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li, Yingyu Liang\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #135\r\nIntegrating mechanistic and structural causal models enables counterfactual inference in complex systems<\/strong><\/a>\r\nRobert Ness, Kaushal Paneri<\/a>, Olga Vitek\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #154\r\nPoisson-randomized Gamma Dynamical Systems<\/strong><\/a>\r\nAaron Schein, Scott Linderman, Mingyuan Zhou, David Blei, Hanna Wallach<\/a>\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #179\r\nBetter Exploration with Optimistic Actor Critic<\/strong><\/a>\r\nKamil Ciosek<\/a>,\u00a0Quan Vuong,\u00a0Robert Loftin<\/a>, Katja Hofmann<\/a>\r\n\r\n5:30 PM\u20137:30 PM | East Exhibition Hall B + C #213\r\nStaying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling<\/strong><\/a>\r\nAndrey\u00a0Kolobov<\/a>, Yuval Peres,\u00a0Cheng Lu<\/a>, Eric Horvitz<\/a>\r\n

Wednesday, December 11<\/h3>\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #104\r\nNormalization Helps Training of Quantized LSTM<\/strong><\/a>\r\nLu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin<\/a>, Tie-Yan Liu<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #107\r\nShallow RNN: Accurate Time-series Classification on Resource Constrained Devices<\/strong><\/a>\r\nDon Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri<\/a>, Prateek Jain<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #158\r\nA Stochastic Composite Gradient Method with Incremental Variance Reduction<\/strong><\/a>\r\nJunyu Zhang, Lin Xiao<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #163\r\nUnderstanding the Role of Momentum in Stochastic Gradient Methods<\/strong><\/a>\r\nIgor Gitman, Hunter Lang, Pengchuan Zhang<\/a>, Lin Xiao<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #203\r\nDistributional Reward Decomposition for Reinforcement Learning<\/strong><\/a>\r\nZichuan Lin, Li Zhao<\/a>, Derek Yang, Tao Qin<\/a>, Tie-Yan Liu<\/a>, Guangwen Yang\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #208\r\nFully Parameterized Quantile Function for Distributional Reinforcement Learning<\/strong><\/a>\r\nDerek Yang, Li Zhao<\/a>, Zichuan Lin, Tao Qin<\/a>, Jiang Bian<\/a>, Tie-Yan Liu<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #231\r\nWhat Can ResNet Learn Efficiently, Going Beyond Kernels?<\/strong><\/a>\r\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #3\r\nLow-Rank Bandit Methods for High-Dimensional Dynamic Pricing<\/strong><\/a>\r\nJonas Mueller, Vasilis Syrgkanis<\/a>, Matt Taddy\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #30\r\nMetalearned\u00a0Neural Memory<\/strong><\/a>\r\nTsendsuren\u00a0Munkhdalai<\/a>, Alessandro Sordoni<\/a>, Tong Wang<\/a>, Adam Trischler<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #76\r\nFastSpeech: Fast, Robust and Controllable Text to Speech<\/strong><\/a>\r\nYi Ren, Yangjun Ruan, Xu Tan<\/a>, Tao Qin<\/a>, Sheng Zhao<\/a>, Zhou Zhao, Tie-Yan Liu<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #94\r\nRand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node<\/strong><\/a>\r\nSuhas Jayaram Subramanya, Devvrit Lnu, Harsha Vardhan Simhadri<\/a>, Ravishankar Krishnawamy<\/a>, Rohan Kadekodi\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #101\r\nA Tensorized Transformer for Language Modeling<\/strong><\/a> Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan<\/a>, Yuexian Hou, Ming Zhou<\/a>, Dawei Song\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #106\r\nImproving Textual Network Learning with Variational Homophilic Embeddings<\/strong><\/a>\r\nWenlin Wang, Chenyang Tao, Zhe Gan<\/a>, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #122\r\nNeuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation<\/strong><\/a>\r\nRuibo Tu, Kun Zhang, Bo Bertilson, Hedvig Kjellstrom, Cheng Zhang<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #136\r\nBias Correction of Learned Generative Models using Likelihood-Free Importance Weighting<\/strong><\/a>\r\nAditya Grover, Jiaming Song, Ashish Kapoor<\/a>, Kenneth Tran<\/a>, Alekh Agarwal<\/a>, Eric Horvitz<\/a>, Stefano Ermon\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #143\r\nIcebreaker: Element-wise Efficient Information Acquisition with Active Learning<\/strong><\/a>\r\nWenbo Gong, Sebastian Tschiatschek<\/a>, Sebastian Nowozin, Richard E Turner<\/a>, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato<\/a>, Cheng Zhang<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #202\r\nBudgeted Reinforcement Learing in Continuous State Space<\/strong><\/a>\r\nNicolas Carrara, Edouard Leurent,\u00a0Romain Laroche<\/a>, Tanguy Urvoy,\u202fOdalric-Ambrym Maillard, and Olivier Pietquin\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #232\r\nSemi-Parametric Efficient Policy Learning with Continuous Actions<\/strong><\/a>\r\nVictor Chernozhukov, Mert Demirer, Greg Lewis<\/a>, Vasilis Syrgkanis<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #242\r\nWide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes<\/strong><\/a>\r\nGreg Yang<\/a>\r\n

Thursday, December 12<\/h3>\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #21\r\nPolicy Poisoning in Batch Reinforcement Learning and Control<\/strong><\/a>\r\nYuzhe Ma, Xuezhou Zhang, Wen Sun<\/a>, Jerry Zhu\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #24\r\nProvably Robust Deep Learning via Adversarially Trained Smoothed Classifiers<\/strong><\/a>\r\nHadi Salman<\/a>, Jerry Li<\/a>, Ilya Razenshteyn<\/a>, Pengchuan Zhang<\/a>, Huan Zhang, Sebastien Bubeck<\/a>, Greg Yang<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #27\r\nEfficient Forward Architecture Search<\/strong><\/a>\r\nHanzhang Hu, John Langford<\/a>, Rich Caruana<\/a>, Saurajit Mukherjee<\/a>, Eric Horvitz<\/a>, Debadeepta Dey<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #34\r\nProcrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration<\/strong><\/a>\r\nRobert Kleinberg, Kevin Leyton-Brown, Brendan Lucier<\/a>, Devon Graham\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #70\r\nUnsupervised State Representation Learning in Atari<\/strong><\/a>\r\nAnkesh\u00a0Anand,\u00a0Sherjil\u00a0Ozair, Evan\u00a0Racah,\u00a0Yoshua\u00a0Bengio,\u00a0Marc-Alexandre\u00a0C\u00f4t\u00e9<\/a>,\u00a0Devon Hjelm<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #75\r\nCharacterizing Bias in Classifiers using Generative Models<\/strong><\/a>\r\nDaniel McDuff<\/a>, Shuang Ma, Yale Song<\/a>, Ashish Kapoor<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #169\r\nOn the Convergence Rate of Training Recurrent Neural Networks<\/strong><\/a>\r\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li, Zhao Song\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #173\r\nUsing Statistics to Automate Stochastic Optimization<\/strong><\/a>\r\nHunter Lang, Pengchuan Zhang<\/a>, Lin Xiao<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #210\r\nThe Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares<\/strong><\/a>\r\nRong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #228\r\nGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck<\/strong><\/a>\r\nMaximilian Igl,\u00a0Kamil Ciosek<\/a>,\u00a0Yingzhen Li<\/a>,\u00a0Sebastian Tschiatschek<\/a>,\u00a0Cheng Zhang<\/a>,\u00a0Sam Devlin<\/a>,\u00a0Katja Hofmann<\/a>\r\n\r\n10:45 AM\u201312:45 PM | East Exhibition Hall B + C #232\r\nReinforcement Learning with Convex Constraints<\/strong><\/a>\r\nSobhan Miryoosefi, Kiant\u00e9 Brantley, Hal Daume III<\/a>, Miro Dudik<\/a>, Robert Schapire<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #9\r\nMinimum Stein Discrepancy Estimators<\/strong><\/a>\r\nAlessandro Barp, Francois-Xavier Briol, Andrew Duncan, Mark Girolami, Lester Mackey<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #32\r\nLearning Representations by Maximizing Mutual Information Across Views<\/strong><\/a>\r\nPhilip Bachman<\/a>, R Devon Hjelm<\/a>, William Buchwalter<\/a>\r\n'\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #51\r\nSample Complexity of Learning Mixture of Sparse Linear Regressions<\/strong><\/a>\r\nAkshay Krishnamurthy<\/a>, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #140\r\nUnified Language Model Pre-training for Natural Language Understanding and Generation<\/strong><\/a>\r\nLi Dong, Nan Yang<\/a>, Wenhui Wang<\/a>, Furu Wei<\/a>, Xiaodong Liu<\/a>, Yu Wang<\/a>, Jianfeng Gao<\/a>, Ming Zhou<\/a>, Hsiao-Wuen Hon<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #142\r\nAdaptive Influence Maximization with Myopic Feedback<\/strong><\/a>\r\nBinghui Peng, Wei Chen<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #152\r\nA Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks<\/strong><\/a>\r\nHadi Salman, Greg Yang<\/a>, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #153\r\nAn Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors<\/strong> <\/a>\r\nJoshua Allen<\/a>,\u00a0Bolin Ding, Janardhan Kulkarni<\/a>, Harsha Nori<\/a>, Olga Ohrimenko<\/a>, Sergey Yekhanin<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #160\r\nOblivious Sampling Algorithms for Private Data Analysis<\/strong><\/a>\r\nSajin Sasy,\u00a0Olga Ohrimenko<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #168\r\nProgram Synthesis and Semantic Parsing with Learned Code Idioms<\/strong><\/a>\r\nRichard Shin, Miltos Allamanis<\/a>, Marc Brockschmidt<\/a>, Alex Polozov<\/a>\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #194\r\nOrdered Memory<\/strong><\/a>\r\nYikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni<\/a>, Aaron Courville\r\n\r\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #213\r\nEfficient Algorithms for Smooth Minimax Optimization<\/strong><\/a>\r\nKiran Thekumparampil, Prateek Jain<\/a>, Praneeth Netrapalli<\/a>, Sewoong Oh"},{"id":3,"name":"Spotlights + Oral presentations","content":"

Oral presentations<\/h2>\r\n

Tuesday, December 10<\/h3>\r\n4:50 PM\u20135:05 PM | West Ballrooms A + B\r\nUsing a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning<\/strong><\/a>\r\nHarm van Seijen<\/a>,\u00a0Mehdi Fatemi<\/a>, Arash Tavakoli\r\n

Spotlight sessions<\/h2>\r\n

Tuesday, December 10<\/h3>\r\n10:40 AM\u201310:45 AM | West Exhibition Hall A\r\nQuantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection<\/strong><\/a>\r\nYihe Dong, Samuel B. Hopkins, Jerry Li<\/a>\r\n\r\n5:05 PM\u20135:10 PM | West Ballroom A + B\r\nBetter Exploration with Optimistic Actor Critic<\/strong><\/a>\r\nKamil Ciosek<\/a>,\u00a0Quan Vuong, Robert Loftin<\/a>, Katja Hofmann<\/a>\r\n

Wednesday, December 11<\/h3>\r\n4:20 PM\u20134:25 PM | West Exhibition Hall A\r\nModel selection for contextual bandits<\/strong><\/a>\r\nDylan Foster, Akshay Krishnamurthy<\/a>, Haipeng Luo\r\n

Thursday, December 12<\/h3>\r\n10:20 AM\u201310:25 AM | West Exhibition Hall A\r\nProvably Robust Deep Learning via Adversarially Trained Smoothed Classifiers<\/strong><\/a>\r\nHadi Salman<\/a>, Greg Yang<\/a>, Jerry Li<\/a>, Pengchuan Zhang<\/a>, Huan Zhang<\/a>, Ilya Razenshteyn<\/a>, Sebastien Bubeck<\/a>"},{"id":4,"name":"Demos","content":"Come by our booth (#301) to see demos of our latest research and meet with our team! See schedule below:\r\n
<\/div>\r\n

Monday, December 9<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/td>\r\nDemos<\/strong><\/td>\r\nMeet Our Team<\/strong><\/td>\r\n<\/tr>\r\n
10:30 AM\u201311:15 AM<\/td>\r\n\r\n
    \r\n \t
  • Responsible AI<\/li>\r\n \t
  • Infer.NET<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Andrew Fitzgibbon \u2013 Vision<\/li>\r\n \t
  • Anna Mitenkova \u2013 RL<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
1:15 PM\u20132:00 PM<\/td>\r\n\r\n
    \r\n \t
  • BERT on Azure ML<\/li>\r\n \t
  • Distributional Reward Decomposition for Reinforcement Learning<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Ali Zaidi \u2013 NLP, Stats<\/li>\r\n \t
  • Kamil Ciosek \u2013 RL<\/li>\r\n \t
  • Shawn Jain \u2013 AI Residency<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
2:00 PM\u20132:45 PM<\/td>\r\n\r\n
    \r\n \t
  • Metalearned Neural Memory<\/li>\r\n \t
  • Fully Parameterized Quantile Function for Distributional Reinforcement Learning<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Harm van Seijen \u2013 RL<\/li>\r\n \t
  • Ravi Pandya \u2013 Health<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
4:45 PM\u20135:00 PM<\/td>\r\n\r\n
    \r\n \t
  • BERT on Azure ML<\/li>\r\n \t
  • Icebreaker: Efficient Information Acquisition with Active Learning<\/li>\r\n<\/ul>\r\n<\/td>\r\n
<\/td>\r\n<\/tr>\r\n
6:30 PM\u20137:30 PM<\/td>\r\n<\/td>\r\n\r\n
    \r\n \t
  • Alex Polozov \u2013 Program synthesis, NL2Code<\/li>\r\n \t
  • Jan St\u00fchmer \u2013 Generative Models, Vision<\/li>\r\n \t
  • Keiji Kanazawa \u2013 Azure Machine Learning<\/li>\r\n \t
  • Marc Brockschmidt \u2013 GNNs<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
6:35 PM\u20138:30 PM<\/td>\r\n\r\n
    \r\n \t
  • IPU-Accelerated Medical Imaging on Microsoft Azure<\/li>\r\n<\/ul>\r\n<\/td>\r\n
<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
<\/div>\r\n

Tuesday, December 10<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time<\/strong><\/td>\r\nDemos<\/strong><\/td>\r\nMeet Our Team<\/strong><\/td>\r\n<\/tr>\r\n
9:20 AM\u201310:05 AM<\/td>\r\n\r\n
    \r\n \t
  • Responsible AI: interpretability & fairness in machine learning<\/li>\r\n \t
  • BERT on Azure ML<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Abhishek Rao \u2013 Text classification<\/li>\r\n \t
  • Ehi Nosakhare \u2013 ML or healthcare\/interpretability<\/li>\r\n \t
  • Govert Verkes \u2013 Vision<\/li>\r\n \t
  • John-Mark Agosta \u2013 Azure<\/li>\r\n \t
  • Yi Li \u2013 Knowledge graph<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
12:45 PM\u20131:30 PM<\/td>\r\n\r\n
    \r\n \t
  • Responsible AI: interpretability & fairness in machine learning<\/li>\r\n \t
  • Efficient Forward Neural Architecture Search<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Andrew Fitzgibbon \u2013 Vision<\/li>\r\n \t
  • Danielle Belgrave \u2013 AI for Healthcare<\/li>\r\n \t
  • Kaushal Paneri \u2013 Causal Inference<\/li>\r\n \t
  • Michael Revow \u2013 Real time communication, Video<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
1:30 PM\u20132:15 PM<\/td>\r\n\r\n
    \r\n \t
  • Responsible AI: interpretability & fairness in machine learning<\/li>\r\n \t
  • BERT on Azure ML<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n
    \r\n \t
  • Anna Mitenkova \u2013 RL<\/li>\r\n \t
  • Cassandra Oduola \u2013 Deep Learning, CV, HCI<\/li>\r\n \t
  • Isabel Chien \u2013 AI for healthcare<\/li>\r\n \t
  • Raluca Georgescu \u2013 RL<\/li>\r\n<\/ul>\r\n<\/td>\r\n<\/tr>\r\n
3:25 PM\u20134:10 PM<\/td>\r\n\r\n
    \r\n \t
  • Responsible AI: interpretability & fairness in machine learning<\/li>\r\n \t
  • Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers<\/li>\r\n<\/ul>\r\n<\/td>\r\n
\r\n