{"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":"2025-08-06T11:56:08","modified_gmt":"2025-08-06T18:56:08","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":"\n\n

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

Website:<\/strong> NeurIPS 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is a proud Diamond sponsor of the 33rd annual conference on Neural Information Processing Systems (opens in new tab)<\/span><\/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 (opens in new tab)<\/span><\/a> with Microsoft.<\/p>\n

Organizing Committee<\/h3>\n

Hanna Wallach<\/a>, General Chair
\nDanielle Belgrave<\/a>, Tutorial Chair
\nJenn Wortman Vaughan<\/a>, Workshop Chair<\/p>\n

Neural Information Processing Systems Foundation Board<\/h3>\n

Hanna Wallach<\/a>, Board member<\/p>\n

Microsoft Attendees<\/h3>\n

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

Tutorials<\/h2>\n

Monday, December 9<\/h3>\n

8:30\u00a0AM\u201310:30 AM | West Hall C + B3
\nImitation Learning and its Application to Natural Language Generation<\/strong> (opens in new tab)<\/span><\/a>
\nKyunghyun Cho, Hal Daum\u00e9 III (opens in new tab)<\/span><\/a><\/p>\n

2:45 PM\u20134:45 PM | West Hall C + B3
\nReinforcement Learning: Past, Present, and Future Perspectives<\/strong> (opens in new tab)<\/span><\/a>
\nKatja Hofmann (opens in new tab)<\/span><\/a><\/p>\n

Workshops<\/h2>\n

Sunday, December 8<\/h3>\n

9:00 AM\u20131:00 PM | West 208-209
\nVowpal Wabbit for real world reinforcement learning<\/strong>
\nOrganizers: John Langford (opens in new tab)<\/span><\/a>, Rodrigo Kumpera (opens in new tab)<\/span><\/a>, Jack Gerrits (opens in new tab)<\/span><\/a>, Yann Stadnicki (opens in new tab)<\/span><\/a>, Marco Rossi (opens in new tab)<\/span><\/a><\/p>\n

Monday, December 9<\/h3>\n

2:00 PM\u20135:00 PM | East 8 + 15
\nQueer in AI<\/strong> (opens in new tab)<\/span><\/a>
\nCo-organizers: Andrew McNamara (opens in new tab)<\/span><\/a>, Luke Stark (opens in new tab)<\/span><\/a>
\nPanelist: Hanna Wallach (opens in new tab)<\/span><\/a><\/p>\n

6:30 PM\u20138:00 PM | East Exhibition Hall B | Joint Affinity Groups Poster Session (opens in new tab)<\/span><\/a><\/p>\n

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

Non-Monotonic Sequential Text Generation<\/strong>
\nKiant\u00e9 Brantley, Hal Daum\u00e9 III (opens in new tab)<\/span><\/a>, Kyunghyun Cho, Sean Welleck<\/p>\n

Queering AI Ethics Pedagogy and Practice<\/strong>
\nLuke Stark (opens in new tab)<\/span><\/a>, Blake W Hawkins<\/p>\n

7:00 AM\u20138:00 PM | East Hall C
\nWomen in Machine Learning<\/strong> (opens in new tab)<\/span><\/a>
\nCo-organizer: Forough Poursabzi-Sangdeh (opens in new tab)<\/span><\/a><\/p>\n

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

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

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

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

Industrial Audio Classification with Music Domain Features<\/strong>
\nPatricia A Ryan (opens in new tab)<\/span><\/a>, Chenhao Yang<\/strong><\/p>\n

Multi-model Deep Networks for Metastatic Cancert Detection using Biopsy Lymph Node Images<\/strong>
\nAzadeh Mobasher (opens in new tab)<\/span><\/a>, Amin Mobasher<\/p>\n

Thursday, December 12<\/h3>\n

7:00 PM\u201310:00 PM | West 220 – 222
\n{Dis}Ability in AI<\/strong> (opens in new tab)<\/span><\/a>
\nPanelist: Costis Daskalakis, Katherine Heller, Emtiyaz Khan, Hugo Larochelle, Negar Rostamzadeh, Hanna Wallach (opens in new tab)<\/span><\/a><\/p>\n

Friday, December 13<\/h3>\n

8:00 AM\u20136:00 PM | West 215 + 216
\nCiML 2019: Machine Learning Competitions for All<\/strong> (opens in new tab)<\/span><\/a>
\nAdrienne Mendrik, Wei-Wei Tu, Isabelle Guyon, Evelyne Viegas (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West Exhibition Hall A
\nGraph Representation Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Building Dynamic Knowledge Graphs from Text-based Games<\/strong>
\nMikul\u00e1\u0161 Zelinka, Xingdi Yuan (opens in new tab)<\/span><\/a>, Marc-Alexandre C\u00f4t\u00e9 (opens in new tab)<\/span><\/a>, Romain Laroche (opens in new tab)<\/span><\/a>, Adam Trischler (opens in new tab)<\/span><\/a><\/p>\n

8:20 AM\u20136:30 PM | West 223 – 224
\nHuman-Centric Machine Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Do Machine Teachers Dream of Algorithms?<\/strong>
\nGonzalo Ramos (opens in new tab)<\/span><\/a>, Christopher Meek (opens in new tab)<\/span><\/a>, Jina Suh (opens in new tab)<\/span><\/a>, Soroush Ghorashi (opens in new tab)<\/span><\/a>, Felicia Ng, Nicole Sultanum<\/p>\n

Weight of Evidence as a Basis for Human-Oriented Explanations<\/strong>
\nDavid Alvarez-Melis (opens in new tab)<\/span><\/a>, Hal Daum\u00e9 III (opens in new tab)<\/span><\/a>, Jennifer Wortman Vaughan (opens in new tab)<\/span><\/a>, Hanna Wallach (opens in new tab)<\/span><\/a><\/p>\n

What Is a Proxy and Why Is It a Problem?<\/strong>
\nMargarita Boyarskaya, Solon Barocas (opens in new tab)<\/span><\/a>, Hanna Wallach (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 109 + 110
\nKR2ML \u2013 Knowledge Representation & Reasoning Meets Machine Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Channel Decomposition into Painting Actions<\/strong>
\nShih-Chieh Su (opens in new tab)<\/span><\/a><\/p>\n

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization<\/strong>
\nBeliz Gunel (opens in new tab)<\/span><\/a>, Chenguang Zhu (opens in new tab)<\/span><\/a>, Michael Zeng (opens in new tab)<\/span><\/a>, Xuedong Huang (opens in new tab)<\/span><\/a><\/p>\n

TP-N2F: Tensor Product Representation for Natural To Formal Language Generation<\/strong>
\nKezhen Chen (opens in new tab)<\/span><\/a>, Qiuyuan Huang (opens in new tab)<\/span><\/a>, Hamid Palangi (opens in new tab)<\/span><\/a>, Paul Smolensky (opens in new tab)<\/span><\/a>, Kenneth D. Forbus, Jianfeng Gao (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:40 PM | West Ballroom A
\nMachine Learning for Health (ML4H): What makes machine learning in medicine different?<\/strong> (opens in new tab)<\/span><\/a>
\nAndrew Beam, Tristan Naumann (opens in new tab)<\/span><\/a>, Brett Beaulieu-Jones, Madalina Fiterau, Irene Y Chen, Samuel G Finlayson, Emily Alsentzer
\nCo-organizer: Stephanie Hyland (opens in new tab)<\/span><\/a>
\nSenior Advisory Committee Member: Tristan Naumann (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 121 + 122
\nML for the Developing World (ML4D)<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India<\/strong>
\nAnusua Trivedi (opens in new tab)<\/span><\/a>, Sumit Mukherjee (opens in new tab)<\/span><\/a>, Edmund Tse (opens in new tab)<\/span><\/a>, Anne Ewing (opens in new tab)<\/span><\/a>, Juan Lavista Ferres (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | East Meeting Rooms 11 + 12
\nMLSys: Workshop on Systems for ML<\/strong> (opens in new tab)<\/span><\/a>
\nAparna Lakshmiratan, Siddhartha Sen (opens in new tab)<\/span><\/a>, Joseph Gonzalez, Dan Crankshaw, Sarah Bird (opens in new tab)<\/span><\/a><\/p>\n

Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving<\/strong>
\nSupun Nakandala, Gyeong-In Yu, Markus Weimer (opens in new tab)<\/span><\/a>, Matteo Interlandi (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 114 + 115
\nRetrospectives: A Venue for Self-Reflection in ML Research<\/strong> (opens in new tab)<\/span><\/a>
\nRyan Lowe, Yoshua Bengio, Joelle Pineau, Michela Paganini, Jessica Forde, Shagun Sodhani, Abhishek Gupta (opens in new tab)<\/span><\/a>, Joel Lehman, Peter Henderson, Kanika Madan<\/p>\n

8:00 AM\u20136:00 PM | West 205 – 207
\nRobust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons<\/strong>
\nSolon Barocas (opens in new tab)<\/span><\/a>, Andrew Selbst, Manish Raghavan<\/p>\n

8:00 AM\u20136:40 AM | East Ballroom A
\nSafety and Robustness in Decision-making<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Airborne Collision Avoidance Systems with Probabilistic Safety Barrier Certificates<\/strong>
\nWenhao Luo, Ashish Kapoor (opens in new tab)<\/span><\/a><\/p>\n

Saturday, December 14<\/h3>\n

8:00 AM\u20136:00 PM | East Meeting Rooms 11 + 12
\nAI for Social Good<\/strong> (opens in new tab)<\/span><\/a>
\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 (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:30 PM | West Exhibition Hall A
\nBridging Game Theory and Deep Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Collaborative Machine Learning Markets<\/strong>
\nOlga Ohrimenko (opens in new tab)<\/span><\/a>, Shruti Tople (opens in new tab)<\/span><\/a>, Sebastian Tschiatschek (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 217 – 219
\nContext and Compositionality in Biological and Artificial Neural Systems<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Factoring Content and Form in Explicitly Compositional Vector Representations<\/strong>
\nPaul Smolensky (opens in new tab)<\/span><\/a><\/p>\n

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

Uncovering the compositional structure of vector representations with Role Learning Networks<\/strong>
\nPaul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West Ballroom C
\n\u201cDo the right thing\u201d: machine learning and causal inference for improved decision making<\/strong> (opens in new tab)<\/span><\/a>
\nMichele Santacatterina, Thorsten Joachims, Nathan Kallus, Adith Swaminathan (opens in new tab)<\/span><\/a>, David Sontag, Angela Zhou<\/p>\n

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

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers<\/strong>
\nDivyat Mahajan (opens in new tab)<\/span><\/a>, Amit Sharma (opens in new tab)<\/span><\/a><\/p>\n

Robust Neural Network for Causal Invariant Features Extraction<\/strong>
\nShuxi Zeng, Pengchuan Zhang (opens in new tab)<\/span><\/a>, Denis Charles (opens in new tab)<\/span><\/a>, Eren Manavoglu (opens in new tab)<\/span><\/a>, Emre K\u0131c\u0131man (opens in new tab)<\/span><\/a><\/p>\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>
\nMarie-Laure Charpignon, Liz Manrao (opens in new tab)<\/span><\/a>, Kamal Choudhary (opens in new tab)<\/span><\/a>, John Hoegger (opens in new tab)<\/span><\/a>, MinKyoung Kang (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 208 + 209
\nDocument Intelligence<\/strong> (opens in new tab)<\/span><\/a>
\nNigel Duffy, Rama Akkiraju, Tania Bedrax Weiss, Paul Bennett (opens in new tab)<\/span><\/a>, Hamid Reza Motahari-Nezhad<\/p>\n

Learning Structure for Text Generation<\/strong>
\nAsli Celikyilmaz (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20137:00 PM | West Exhibition Hall C
\nDeep Reinforcement Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

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

Interactive Fiction Games: A Colossal Adventure<\/strong>
\nMatthew Hausknecht (opens in new tab)<\/span><\/a>, Prithviraj V Ammanabrolu, Marc-Alexandre C\u00f4t\u00e9 (opens in new tab)<\/span><\/a>, Xingdi Yuan (opens in new tab)<\/span><\/a><\/p>\n

9:00 AM\u20136:00 PM | West 118 \u2013 120
\nEmergent Communication: Towards Natural Language<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Playing log(N)-Questions over Sentences<\/strong>
\nPeter Potash (opens in new tab)<\/span><\/a>, Kaheer Suleman (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | East Ballroom B
\nFair ML in Healthcare<\/strong> (opens in new tab)<\/span><\/a>
\nSenior Advisory Committee Member: Tristan Naumann (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 211 \u2013 214
\nLearning Transferable Skills<\/strong> (opens in new tab)<\/span><\/a>
\nInvited Speaker: Katja Hofmann (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | East 1 – 3
\nMachine Learning for Autonomous Driving<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
\nPraveen Palanisamy (opens in new tab)<\/span><\/a><\/strong><\/p>\n

8:00 AM\u20136:00 PM | West Ballroom B
\nMachine Learning with Guarantees<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

No-Regret and Incentive-Compatible Prediction with Expert Advice<\/strong>
\nRupert Freeman (opens in new tab)<\/span><\/a>, David Pennock (opens in new tab)<\/span><\/a>, Chara Podimata, Jennifer Wortman Vaughan (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:45 PM | West 301 \u2013 305
\nMedical Imaging meets NeurIPS<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection<\/strong>
\nAnusua Trivedi (opens in new tab)<\/span><\/a>, J. Desbiens, Ron Gross, S. Gupta, Juan Lavista Ferres (opens in new tab)<\/span><\/a>, Rahul Dodhia (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 202 – 204
\nML For Systems<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Reinforcement learning for bandwidth estimation and congestion control in real-time communications<\/strong>
\nJoyce Fang (opens in new tab)<\/span><\/a>, Martin Ellis (opens in new tab)<\/span><\/a>, Bin Li (opens in new tab)<\/span><\/a>, Siyao Liu, Yasaman Hosseinkashi (opens in new tab)<\/span><\/a>, Michael Revow (opens in new tab)<\/span><\/a>, Albert Sadovnikov (opens in new tab)<\/span><\/a>, Ziyuan Liu (opens in new tab)<\/span><\/a>, Peng Cheng (opens in new tab)<\/span><\/a>, Sachin Ashok (opens in new tab)<\/span><\/a>, David Zhao (opens in new tab)<\/span><\/a>, Ross Cutler (opens in new tab)<\/span><\/a>, Yan Lu (opens in new tab)<\/span><\/a>, Johannes Gehrke (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | West 121 \u2013 122
\nScience meets Engineering of Deep Learning<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Non Gaussianity of Stochastic Gradient Noise<\/strong>
\nAbhishek Panigrahi (opens in new tab)<\/span><\/a>, Raghav Somani, Navin Goyal (opens in new tab)<\/span><\/a>, Praneeth Netrapalli (opens in new tab)<\/span><\/a><\/p>\n

8:00 AM\u20136:00 PM | East Ballroom C
\nTackling Climate Change with ML<\/strong> (opens in new tab)<\/span><\/a>
\nDavid Rolnick, Alexandre Lacoste, Tegan Maharaj, Priya Donti, Lynn Kaack, John Platt, Jennifer Chayes (opens in new tab)<\/span><\/a>, Yoshua Bengio
\nInvited Speaker: Lester Mackey (opens in new tab)<\/span><\/a><\/p>\n

Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon<\/strong>
\nKiwan Maeng, Iskender Kushan (opens in new tab)<\/span><\/a>, Brandon Lucia, Ashish Kapoor (opens in new tab)<\/span><\/a><\/p>\n

Helping Reduce Environmental Impact of Aviation with Machine Learning<\/strong>
\nAshish Kapoor (opens in new tab)<\/span><\/a><\/p>\n

Panel: Climate Change and AI<\/strong>
\nYoshua Bengio, Andrew Ng, Carla Gomes, Lester Mackey (opens in new tab)<\/span><\/a>, Jeff Dean<\/p>\n

8:00 AM\u20136:00 PM | West 205 – 207
\nThe third Conversational AI workshop \u2013 today’s practice and tomorrow’s potential<\/strong> (opens in new tab)<\/span><\/a>
\nAlborz Geramifard, Jason Williams, Matt Henderson, Luis Lastras, Dilek Hakkani-Tur, Mari Ostendorf, Milica Gasic, Asli Celikyilmaz (opens in new tab)<\/span><\/a><\/p>\n

9:00 AM\u201311:00 AM | West 116 \u2013 117 | Workshop \u2013 Competition Track Day 2
\nThe MineRL Competition<\/strong> (opens in new tab)<\/span><\/a>
\nCo-organizers: William H. Guss, Mario Ynocente Castro, Cayden Codel, Katja Hofmann (opens in new tab)<\/span><\/a>, Brandon Houghton, Noboru Kuno (opens in new tab)<\/span><\/a>, Crissman Loomis, Keisuke Nakata, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Manuela Veloso, Phillip Wang<\/p>\n

4:15 PM | West 116 \u2013 117 | Competition
\nGame of Drones Competition<\/strong> (opens in new tab)<\/span><\/a>
\nMatthew Brown, Guada Casuso (opens in new tab)<\/span><\/a>, Eric Cristofalo, Darius Garza (opens in new tab)<\/span><\/a>, Nicholas Gyde, Ashish Kapoor (opens in new tab)<\/span><\/a>, Ratnesh Madaan (opens in new tab)<\/span><\/a>, Keiko Nagami, Jim Piavis (opens in new tab)<\/span><\/a>, Davide Scaramuzza, Mac Schwager, Tim Taubner, Sai Vemprala (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Tuesday, December 10<\/h3>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #92
\nLocally Private Gaussian Estimation<\/strong> (opens in new tab)<\/span><\/a>
\nMatthew Joseph, Janardhan Kulkarni<\/a>, Jieming Mao, Steven Wu<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #150
\nCan SGD Learn Recurrent Neural Networks with Provable Generalization?<\/strong> (opens in new tab)<\/span><\/a>
\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #183
\nDeep Generalized Method of Moments for Instrumental Variable Analysis<\/strong> (opens in new tab)<\/span><\/a>
\nAndrew Bennett, Nathan Kallus,\u00a0Tobias Schnabel<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #185
\nMachine Learning Estimation of Heterogeneous Treatment Effects with Instruments<\/strong> (opens in new tab)<\/span><\/a>
\nVasilis Syrgkanis<\/a>, Victor Lei, Miruna Oprescu<\/a>, Maggie Hei<\/a>, Keith Battocchi<\/a>, Greg Lewis<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #198
\nSuccessor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning<\/strong> (opens in new tab)<\/span><\/a>
\nDavid Janz, Jiri Hron, Przemys\u0142aw Mazur,\u00a0Katja Hofmann<\/a>, Jose Miguel Hernandez-Lobato (opens in new tab)<\/span><\/a>,\u00a0Sebastian Tschiatschek<\/a><\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #87
\nTwin Auxilary Classifiers GAN<\/strong> (opens in new tab)<\/span><\/a>
\nMingming Gong, Yanwu Xu, Chunyuan Li<\/a>, Kun Zhang, Kayhan Batmanghelich<\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #92
\nLearning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers<\/strong> (opens in new tab)<\/span><\/a>
\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li, Yingyu Liang<\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #135
\nIntegrating mechanistic and structural causal models enables counterfactual inference in complex systems<\/strong> (opens in new tab)<\/span><\/a>
\nRobert Ness, Kaushal Paneri (opens in new tab)<\/span><\/a>, Olga Vitek<\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #154
\nPoisson-randomized Gamma Dynamical Systems<\/strong> (opens in new tab)<\/span><\/a>
\nAaron Schein, Scott Linderman, Mingyuan Zhou, David Blei, Hanna Wallach<\/a><\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #179
\nBetter Exploration with Optimistic Actor Critic<\/strong> (opens in new tab)<\/span><\/a>
\nKamil Ciosek<\/a>,\u00a0Quan Vuong,\u00a0Robert Loftin (opens in new tab)<\/span><\/a>, Katja Hofmann<\/a><\/p>\n

5:30 PM\u20137:30 PM | East Exhibition Hall B + C #213
\nStaying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling<\/strong> (opens in new tab)<\/span><\/a>
\nAndrey\u00a0Kolobov<\/a>, Yuval Peres,\u00a0Cheng Lu (opens in new tab)<\/span><\/a>, Eric Horvitz<\/a><\/p>\n

Wednesday, December 11<\/h3>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #104
\nNormalization Helps Training of Quantized LSTM<\/strong> (opens in new tab)<\/span><\/a>
\nLu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin<\/a>, Tie-Yan Liu<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #107
\nShallow RNN: Accurate Time-series Classification on Resource Constrained Devices<\/strong> (opens in new tab)<\/span><\/a>
\nDon Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri<\/a>, Prateek Jain<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #158
\nA Stochastic Composite Gradient Method with Incremental Variance Reduction<\/strong> (opens in new tab)<\/span><\/a>
\nJunyu Zhang, Lin Xiao<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #163
\nUnderstanding the Role of Momentum in Stochastic Gradient Methods<\/strong> (opens in new tab)<\/span><\/a>
\nIgor Gitman, Hunter Lang, Pengchuan Zhang<\/a>, Lin Xiao<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #203
\nDistributional Reward Decomposition for Reinforcement Learning<\/strong> (opens in new tab)<\/span><\/a>
\nZichuan Lin, Li Zhao<\/a>, Derek Yang, Tao Qin<\/a>, Tie-Yan Liu<\/a>, Guangwen Yang<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #208
\nFully Parameterized Quantile Function for Distributional Reinforcement Learning<\/strong> (opens in new tab)<\/span><\/a>
\nDerek Yang, Li Zhao<\/a>, Zichuan Lin, Tao Qin<\/a>, Jiang Bian<\/a>, Tie-Yan Liu<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #231
\nWhat Can ResNet Learn Efficiently, Going Beyond Kernels?<\/strong> (opens in new tab)<\/span><\/a>
\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #3
\nLow-Rank Bandit Methods for High-Dimensional Dynamic Pricing<\/strong> (opens in new tab)<\/span><\/a>
\nJonas Mueller, Vasilis Syrgkanis<\/a>, Matt Taddy<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #30
\nMetalearned\u00a0Neural Memory<\/strong> (opens in new tab)<\/span><\/a>
\nTsendsuren\u00a0Munkhdalai<\/a>, Alessandro Sordoni<\/a>, Tong Wang<\/a>, Adam Trischler<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #76
\nFastSpeech: Fast, Robust and Controllable Text to Speech<\/strong> (opens in new tab)<\/span><\/a>
\nYi Ren, Yangjun Ruan, Xu Tan<\/a>, Tao Qin<\/a>, Sheng Zhao (opens in new tab)<\/span><\/a>, Zhou Zhao, Tie-Yan Liu<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #94
\nRand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node<\/strong> (opens in new tab)<\/span><\/a>
\nSuhas Jayaram Subramanya, Devvrit Lnu, Harsha Vardhan Simhadri<\/a>, Ravishankar Krishnawamy<\/a>, Rohan Kadekodi<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #101
\nA Tensorized Transformer for Language Modeling<\/strong> (opens in new tab)<\/span><\/a> Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan<\/a>, Yuexian Hou, Ming Zhou<\/a>, Dawei Song<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #106
\nImproving Textual Network Learning with Variational Homophilic Embeddings<\/strong> (opens in new tab)<\/span><\/a>
\nWenlin Wang, Chenyang Tao, Zhe Gan (opens in new tab)<\/span><\/a>, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #122
\nNeuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation<\/strong> (opens in new tab)<\/span><\/a>
\nRuibo Tu, Kun Zhang, Bo Bertilson, Hedvig Kjellstrom, Cheng Zhang<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #136
\nBias Correction of Learned Generative Models using Likelihood-Free Importance Weighting<\/strong> (opens in new tab)<\/span><\/a>
\nAditya Grover, Jiaming Song, Ashish Kapoor<\/a>, Kenneth Tran<\/a>, Alekh Agarwal<\/a>, Eric Horvitz<\/a>, Stefano Ermon<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #143
\nIcebreaker: Element-wise Efficient Information Acquisition with Active Learning<\/strong> (opens in new tab)<\/span><\/a>
\nWenbo Gong, Sebastian Tschiatschek<\/a>, Sebastian Nowozin, Richard E Turner (opens in new tab)<\/span><\/a>, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato (opens in new tab)<\/span><\/a>, Cheng Zhang<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #202
\nBudgeted Reinforcement Learing in Continuous State Space<\/strong> (opens in new tab)<\/span><\/a>
\nNicolas Carrara, Edouard Leurent,\u00a0Romain Laroche<\/a>, Tanguy Urvoy,\u202fOdalric-Ambrym Maillard, and Olivier Pietquin<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #232
\nSemi-Parametric Efficient Policy Learning with Continuous Actions<\/strong> (opens in new tab)<\/span><\/a>
\nVictor Chernozhukov, Mert Demirer, Greg Lewis<\/a>, Vasilis Syrgkanis<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #242
\nWide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes<\/strong> (opens in new tab)<\/span><\/a>
\nGreg Yang<\/a><\/p>\n

Thursday, December 12<\/h3>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #21
\nPolicy Poisoning in Batch Reinforcement Learning and Control<\/strong> (opens in new tab)<\/span><\/a>
\nYuzhe Ma, Xuezhou Zhang, Wen Sun (opens in new tab)<\/span><\/a>, Jerry Zhu<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #24
\nProvably Robust Deep Learning via Adversarially Trained Smoothed Classifiers<\/strong> (opens in new tab)<\/span><\/a>
\nHadi Salman (opens in new tab)<\/span><\/a>, Jerry Li<\/a>, Ilya Razenshteyn<\/a>, Pengchuan Zhang<\/a>, Huan Zhang, Sebastien Bubeck<\/a>, Greg Yang<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #27
\nEfficient Forward Architecture Search<\/strong> (opens in new tab)<\/span><\/a>
\nHanzhang Hu, John Langford<\/a>, Rich Caruana<\/a>, Saurajit Mukherjee (opens in new tab)<\/span><\/a>, Eric Horvitz<\/a>, Debadeepta Dey<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #34
\nProcrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration<\/strong> (opens in new tab)<\/span><\/a>
\nRobert Kleinberg, Kevin Leyton-Brown, Brendan Lucier<\/a>, Devon Graham<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #70
\nUnsupervised State Representation Learning in Atari<\/strong> (opens in new tab)<\/span><\/a>
\nAnkesh\u00a0Anand,\u00a0Sherjil\u00a0Ozair, Evan\u00a0Racah,\u00a0Yoshua\u00a0Bengio,\u00a0Marc-Alexandre\u00a0C\u00f4t\u00e9<\/a>,\u00a0Devon Hjelm<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #75
\nCharacterizing Bias in Classifiers using Generative Models<\/strong> (opens in new tab)<\/span><\/a>
\nDaniel McDuff<\/a>, Shuang Ma, Yale Song<\/a>, Ashish Kapoor<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #169
\nOn the Convergence Rate of Training Recurrent Neural Networks<\/strong> (opens in new tab)<\/span><\/a>
\nZeyuan Allen-Zhu<\/a>, Yuanzhi Li, Zhao Song<\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #173
\nUsing Statistics to Automate Stochastic Optimization<\/strong> (opens in new tab)<\/span><\/a>
\nHunter Lang, Pengchuan Zhang<\/a>, Lin Xiao<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #210
\nThe Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares<\/strong> (opens in new tab)<\/span><\/a>
\nRong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #228
\nGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck<\/strong> (opens in new tab)<\/span><\/a>
\nMaximilian Igl,\u00a0Kamil Ciosek<\/a>,\u00a0Yingzhen Li<\/a>,\u00a0Sebastian Tschiatschek<\/a>,\u00a0Cheng Zhang<\/a>,\u00a0Sam Devlin<\/a>,\u00a0Katja Hofmann<\/a><\/p>\n

10:45 AM\u201312:45 PM | East Exhibition Hall B + C #232
\nReinforcement Learning with Convex Constraints<\/strong> (opens in new tab)<\/span><\/a>
\nSobhan Miryoosefi, Kiant\u00e9 Brantley, Hal Daume III<\/a>, Miro Dudik<\/a>, Robert Schapire<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #9
\nMinimum Stein Discrepancy Estimators<\/strong> (opens in new tab)<\/span><\/a>
\nAlessandro Barp, Francois-Xavier Briol, Andrew Duncan, Mark Girolami, Lester Mackey<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #32
\nLearning Representations by Maximizing Mutual Information Across Views<\/strong> (opens in new tab)<\/span><\/a>
\nPhilip Bachman<\/a>, R Devon Hjelm<\/a>, William Buchwalter<\/a>
\n‘
\n5:00 PM\u20137:00 PM | East Exhibition Hall B + C #51
\nSample Complexity of Learning Mixture of Sparse Linear Regressions<\/strong> (opens in new tab)<\/span><\/a>
\nAkshay Krishnamurthy<\/a>, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #140
\nUnified Language Model Pre-training for Natural Language Understanding and Generation<\/strong> (opens in new tab)<\/span><\/a>
\nLi Dong, Nan Yang (opens in new tab)<\/span><\/a>, Wenhui Wang (opens in new tab)<\/span><\/a>, Furu Wei<\/a>, Xiaodong Liu<\/a>, Yu Wang (opens in new tab)<\/span><\/a>, Jianfeng Gao<\/a>, Ming Zhou<\/a>, Hsiao-Wuen Hon<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #142
\nAdaptive Influence Maximization with Myopic Feedback<\/strong> (opens in new tab)<\/span><\/a>
\nBinghui Peng, Wei Chen<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #152
\nA Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks<\/strong> (opens in new tab)<\/span><\/a>
\nHadi Salman, Greg Yang<\/a>, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #153
\nAn Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors<\/strong> (opens in new tab)<\/span><\/a>
\nJoshua Allen (opens in new tab)<\/span><\/a>,\u00a0Bolin Ding, Janardhan Kulkarni<\/a>, Harsha Nori (opens in new tab)<\/span><\/a>, Olga Ohrimenko<\/a>, Sergey Yekhanin<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #160
\nOblivious Sampling Algorithms for Private Data Analysis<\/strong> (opens in new tab)<\/span><\/a>
\nSajin Sasy,\u00a0Olga Ohrimenko<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #168
\nProgram Synthesis and Semantic Parsing with Learned Code Idioms<\/strong> (opens in new tab)<\/span><\/a>
\nRichard Shin, Miltos Allamanis<\/a>, Marc Brockschmidt<\/a>, Alex Polozov<\/a><\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #194
\nOrdered Memory<\/strong> (opens in new tab)<\/span><\/a>
\nYikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni<\/a>, Aaron Courville<\/p>\n

5:00 PM\u20137:00 PM | East Exhibition Hall B + C #213
\nEfficient Algorithms for Smooth Minimax Optimization<\/strong> (opens in new tab)<\/span><\/a>
\nKiran Thekumparampil, Prateek Jain<\/a>, Praneeth Netrapalli<\/a>, Sewoong OhOpens in a new tab<\/span><\/p>\n

Oral presentations<\/h2>\n

Tuesday, December 10<\/h3>\n

4:50 PM\u20135:05 PM | West Ballrooms A + B
\nUsing a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning<\/strong> (opens in new tab)<\/span><\/a>
\nHarm van Seijen<\/a>,\u00a0Mehdi Fatemi<\/a>, Arash Tavakoli<\/p>\n

Spotlight sessions<\/h2>\n

Tuesday, December 10<\/h3>\n

10:40 AM\u201310:45 AM | West Exhibition Hall A
\nQuantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection<\/strong> (opens in new tab)<\/span><\/a>
\nYihe Dong, Samuel B. Hopkins, Jerry Li<\/a><\/p>\n

5:05 PM\u20135:10 PM | West Ballroom A + B
\nBetter Exploration with Optimistic Actor Critic<\/strong> (opens in new tab)<\/span><\/a>
\nKamil Ciosek<\/a>,\u00a0Quan Vuong, Robert Loftin (opens in new tab)<\/span><\/a>, Katja Hofmann<\/a><\/p>\n

Wednesday, December 11<\/h3>\n

4:20 PM\u20134:25 PM | West Exhibition Hall A
\nModel selection for contextual bandits<\/strong> (opens in new tab)<\/span><\/a>
\nDylan Foster, Akshay Krishnamurthy<\/a>, Haipeng Luo<\/p>\n

Thursday, December 12<\/h3>\n

10:20 AM\u201310:25 AM | West Exhibition Hall A
\nProvably Robust Deep Learning via Adversarially Trained Smoothed Classifiers<\/strong> (opens in new tab)<\/span><\/a>
\nHadi Salman (opens in new tab)<\/span><\/a>, Greg Yang<\/a>, Jerry Li<\/a>, Pengchuan Zhang<\/a>, Huan Zhang (opens in new tab)<\/span><\/a>, Ilya Razenshteyn<\/a>, Sebastien Bubeck<\/a>Opens in a new tab<\/span><\/p>\n

Come by our booth (#301) to see demos of our latest research and meet with our team! See schedule below:<\/p>\n

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

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