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Author Information
Antonia Marcu (University of Southampton)
Yao-Yuan Yang (UCSD)
Pascale Gourdeau (University of Oxford)
Chen Zhu (University of Maryland)
Thodoris Lykouris (Cornell University)
Jianfeng Chi (University of Virginia)
Mark Kozdoba (Technion)
Arjun Nitin Bhagoji (Princeton University)
Xiaoxia Wu (University of Texas at Austin)
Jay Nandy (NUS)
Michael T Smith (University of Sheffield)
I’m currently a post-doc researcher at the University of Sheffield, in Neil Lawrence’s lab. We’re developing new tools to allow data to be anonymised, through the framework of differential privacy. As part of an innovate UK collaboration we’re building the scikic inference tool, which will provide both a conversation interface and a backend API for inferring demographic and lifestyle features about individuals. It is hoped it will be a useful tool to demonstrate the power of machine learning. In the future we hope to develop a user-centric data model for the analysis and storage of user data, with the motivation that personalised medicine and associated research requires access to user data. I spent most of 2014 lecturing at Makerere University, Kampala, Uganda. There I became involved in the field of Development Informatics, and have several on-going research topics; covering air pollution, nutrition-data, automated microscopy, traffic collision data and malaria distribution prediction. A variety of machine learning methods have been applied (for example Gaussian Process models for the model of malaria distribution). More details about some of these projects can be found at the Artificial Intelligence in the Developing World (AI-DEV) group’s website.
Bingyang Wen (Stevens Institute of Technology)
Yuege Xie (The University of Texas at Austin)
Konstantinos Pitas (EPFL)
Suprosanna Shit (TUM)
Maksym Andriushchenko (University of Tübingen / EPFL)
Dingli Yu (Princeton University)
Gaël Letarte (Université Laval)
Misha Khodak (CMU)
Hussein Mozannar (Massachusetts Institute of Technology)
I am a PhD student at MIT Institute for Data, Systems, and Society interested in algorithmic fairness and modern challenges in data analysis such as robustness and privacy. I recently received my undergraduate degree in Computer and Communications Engineering at the American University of Beirut. In the summer of 2018 I was a visiting student/intern at TTIC working with Mesrob Ohannessian and Nathan Srebro on the long term effects of fair decision making.
Chara Podimata (Harvard University)
James Foulds (University of Maryland, Baltimore County)
Yizhen Wang (University of California, San Diego)
Huishuai Zhang (Microsoft Research Asia)
Ondrej Kuzelka (Czech Technical University in Prague)
Alexander Levine (University of Maryland, College Park)
Nan Lu (University of Tokyo/ RIKEN-AIP)
Zakaria Mhammedi (The Australian National University)
Paul Viallard (Jean Monnet University)
Diana Cai (Princeton University)
Lovedeep Gondara (Simon Fraser University)
James Lucas (University of Toronto)
Yasaman Mahdaviyeh (University of Toronto)
Aristide Baratin (Université de Montreal)
Rishi Bommasani (Cornell University)
M.S. student at Cornell University, researching in NLP under Claire Cardie. My work centers around theoretical soundness in NLP and I will be applying to PhD programs this December.
Alessandro Barp (Imperial College London)
Andrew Ilyas (MIT)
Kaiwen Wu (University of Waterloo)
Jens Behrmann (University of Bremen)
Omar Rivasplata (DeepMind & UCL)
My top-level areas of interest are statistical learning theory, machine learning, probability and statistics. These days I am very interested in deep learning and reinforcement learning. I am a Senior Research Fellow at the Department of Statistical Science, University College London. Before my current post I was for a few months at the Department of Mathematics at UCL. Previously I was for a few years at the Department of Computer Science at UCL, where I did research studies in statistical machine learning, sponsored by DeepMind. In parallel with these studies I was a research scientist intern at DeepMind for three years. Back in the day I studied undergraduate maths (BSc 2000, Pontificia Universidad Católica del Perú) and graduate maths (MSc 2005, PhD 2012, University of Alberta). I've lived in Peru, in Canada, and now I'm based in the UK.
Amir Nazemi (University of Waterloo)
Aditi Raghunathan (Stanford University)
Will Stephenson (MIT)
Sahil Singla (University of Maryland)
Akhil Gupta (University of Illinois, Urbana-Champaign)
YooJung Choi (UCLA)
Yannic Kilcher (ETH Zurich)
Clare Lyle (University of Oxford)
Edoardo Manino (University of Southampton)
Edoardo Manino is a research fellow at the University of Southampton. Currently, he is finishing his PhD in machine learning and crowdsourcing under the supervision of Prof. Nicholas R. Jennings and Dr. Long Tran-Thanh. His research interests range from Bayesian learning to algorithmic game theory and, more recently, influence maximisation on social networks.
Andrew Bennett (Cornell University)
Zhi Xu (MIT)
Niladri Chatterji (UC Berkeley)
Emre Barut (George Washington University)
Flavien Prost (Google)
Rodrigo Toro Icarte (University of Toronto and Vector Institute)
I am a Ph.D. student in the knowledge representation group at the University of Toronto. I am also a member of the Canadian Artificial Intelligence Association and the Vector Institute. My supervisor is Sheila McIlraith. I did my undergrad in Computer Engineering and MSc in Computer Science at Pontificia Universidad Catolica de Chile (PUC). My master's degree was co-supervised by Alvaro Soto and Jorge Baier. While I was at PUC, I taught the undergraduate course "Introduction to Computer Programming Languages."
Arno Blaas (University of Oxford)
Chulhee Yun (MIT)
Sahin Lale (California Institute of Technology)
YiDing Jiang (Google Research)
Tharun Kumar Reddy Medini (Rice University)
I'm a 3rd year PhD student at Rice University working with Prof.Anshumali Shrivastava. I primarily work on scaling up Deep Learning using Hashing techniques. I'm currently interning at Amazon Search in Palo Alto.
Ashkan Rezaei (University of Illinois at Chicago)
Alexander Meinke (Eberhard Karls Universität Tübingen)
Stephen Mell (University of Pennsylvania)
Gary Kazantsev (Bloomberg LP)
Shivam Garg (Stanford University)
Aradhana Sinha (Google)
Vishnu Lokhande (University of Wisconsin Madison)
Geovani Rizk (Université Paris Dauphine)
Han Zhao (Carnegie Mellon University)
Aditya Kumar Akash (University of Wisconsin, Madison)
Jikai Hou (Peking University)
Ali Ghodsi (University of Waterloo)
Matthias Hein (University of Tübingen)
Tyler Sypherd (Arizona State University)
Yichen Yang (MIT)
Anastasia Pentina (SDSC, ETH Zurich)
Pierre Gillot (University of Bergen)
Antoine Ledent (TU Kaiserslautern)
I obtained a PhD in stochastic analysis at the University of Luxembourg, and am now working in statistical learning theory as a postdoc.
Guy Gur-Ari (Google)
Noah MacAulay (Independent Researcher)
Tianzong Zhang (Tsinghua University)
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YooJung Choi · Guy Van den Broeck -
2020 : Poster Session 3 (gather.town) »
Denny Wu · Chengrun Yang · Tolga Ergen · sanae lotfi · Charles Guille-Escuret · Boris Ginsburg · Hanbake Lyu · Cong Xie · David Newton · Debraj Basu · Yewen Wang · James Lucas · MAOJIA LI · Lijun Ding · Jose Javier Gonzalez Ortiz · Reyhane Askari Hemmat · Zhiqi Bu · Neal Lawton · Kiran Thekumparampil · Jiaming Liang · Lindon Roberts · Jingyi Zhu · Dongruo Zhou -
2020 : The Intrinsic Dimension of Images and Its Impact on Learning »
Chen Zhu · Micah Goldblum · Ahmed Abdelkader · Tom Goldstein · Phillip Pope -
2020 : Poster Session 2 (gather.town) »
Sharan Vaswani · Nicolas Loizou · Wenjie Li · Preetum Nakkiran · Zhan Gao · Sina Baghal · Jingfeng Wu · Roozbeh Yousefzadeh · Jinyi Wang · Jing Wang · Cong Xie · Anastasia Borovykh · Stanislaw Jastrzebski · Soham Dan · Yiliang Zhang · Mark Tuddenham · Sarath Pattathil · Ievgen Redko · Jeremy Cohen · Yasaman Esfandiari · Zhanhong Jiang · Mostafa ElAraby · Chulhee Yun · Michael Psenka · Robert Gower · Xiaoyu Wang -
2020 Poster: SGD with shuffling: optimal rates without component convexity and large epoch requirements »
Kwangjun Ahn · Chulhee Yun · Suvrit Sra -
2020 Spotlight: SGD with shuffling: optimal rates without component convexity and large epoch requirements »
Kwangjun Ahn · Chulhee Yun · Suvrit Sra -
2020 Poster: Sharper Generalization Bounds for Pairwise Learning »
Yunwen Lei · Antoine Ledent · Marius Kloft -
2020 Poster: On the training dynamics of deep networks with $L_2$ regularization »
Aitor Lewkowycz · Guy Gur-Ari -
2020 Poster: Certifying Confidence via Randomized Smoothing »
Aounon Kumar · Alexander Levine · Soheil Feizi · Tom Goldstein -
2020 Poster: Implicit Regularization and Convergence for Weight Normalization »
Xiaoxia Wu · Edgar Dobriban · Tongzheng Ren · Shanshan Wu · Zhiyuan Li · Suriya Gunasekar · Rachel Ward · Qiang Liu -
2020 Poster: A Bayesian Perspective on Training Speed and Model Selection »
Clare Lyle · Lisa Schut · Robin Ru · Yarin Gal · Mark van der Wilk -
2020 Poster: Certifiably Adversarially Robust Detection of Out-of-Distribution Data »
Julian Bitterwolf · Alexander Meinke · Matthias Hein -
2020 Oral: On the training dynamics of deep networks with $L_2$ regularization »
Aitor Lewkowycz · Guy Gur-Ari -
2020 Poster: Rethinking Importance Weighting for Deep Learning under Distribution Shift »
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama -
2020 Poster: Rethinking the Value of Labels for Improving Class-Imbalanced Learning »
Yuzhe Yang · Zhi Xu -
2020 Spotlight: Rethinking Importance Weighting for Deep Learning under Distribution Shift »
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama -
2020 Poster: The Pitfalls of Simplicity Bias in Neural Networks »
Harshay Shah · Kaustav Tamuly · Aditi Raghunathan · Prateek Jain · Praneeth Netrapalli -
2020 Poster: Adversarial Training is a Form of Data-dependent Operator Norm Regularization »
Kevin Roth · Yannic Kilcher · Thomas Hofmann -
2020 Poster: Regularized linear autoencoders recover the principal components, eventually »
Xuchan Bao · James Lucas · Sushant Sachdeva · Roger Grosse -
2020 Poster: Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation »
Han Zhao · Jianfeng Chi · Yuan Tian · Geoffrey Gordon -
2020 Poster: Learning Strategy-Aware Linear Classifiers »
Yiling Chen · Yang Liu · Chara Podimata -
2020 Poster: Neurosymbolic Transformers for Multi-Agent Communication »
Jeevana Priya Inala · Yichen Yang · James Paulos · Yewen Pu · Osbert Bastani · Vijay Kumar · Martin Rinard · Armando Solar-Lezama -
2020 Poster: Approximate Cross-Validation for Structured Models »
Soumya Ghosh · Will Stephenson · Tin Nguyen · Sameer Deshpande · Tamara Broderick -
2020 Poster: Fairness without Demographics through Adversarially Reweighted Learning »
Preethi Lahoti · Alex Beutel · Jilin Chen · Kang Lee · Flavien Prost · Nithum Thain · Xuezhi Wang · Ed Chi -
2020 Poster: Understanding and Improving Fast Adversarial Training »
Maksym Andriushchenko · Nicolas Flammarion -
2020 Spotlight: Adversarial Training is a Form of Data-dependent Operator Norm Regularization »
Kevin Roth · Yannic Kilcher · Thomas Hofmann -
2020 Poster: A Closer Look at Accuracy vs. Robustness »
Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri -
2020 Poster: Approximate Cross-Validation with Low-Rank Data in High Dimensions »
Will Stephenson · Madeleine Udell · Tamara Broderick -
2020 Poster: Large-Scale Adversarial Training for Vision-and-Language Representation Learning »
Zhe Gan · Yen-Chun Chen · Linjie Li · Chen Zhu · Yu Cheng · Jingjing Liu -
2020 Poster: Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks »
Wei-An Lin · Chun Pong Lau · Alexander Levine · Rama Chellappa · Soheil Feizi -
2020 Poster: O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers »
Chulhee Yun · Yin-Wen Chang · Srinadh Bhojanapalli · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar -
2020 Poster: Do Adversarially Robust ImageNet Models Transfer Better? »
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry -
2020 Spotlight: Large-Scale Adversarial Training for Vision-and-Language Representation Learning »
Zhe Gan · Yen-Chun Chen · Linjie Li · Chen Zhu · Yu Cheng · Jingjing Liu -
2020 Oral: Do Adversarially Robust ImageNet Models Transfer Better? »
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry -
2020 Poster: PAC-Bayes Analysis Beyond the Usual Bounds »
Omar Rivasplata · Ilja Kuzborskij · Csaba Szepesvari · John Shawe-Taylor -
2020 Poster: PAC-Bayesian Bound for the Conditional Value at Risk »
Zakaria Mhammedi · Benjamin Guedj · Robert Williamson -
2020 Poster: Learning the Linear Quadratic Regulator from Nonlinear Observations »
Zakaria Mhammedi · Dylan Foster · Max Simchowitz · Dipendra Misra · Wen Sun · Akshay Krishnamurthy · Alexander Rakhlin · John Langford -
2020 Poster: Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation »
Devavrat Shah · Dogyoon Song · Zhi Xu · Yuzhe Yang -
2020 Poster: Logarithmic Pruning is All You Need »
Laurent Orseau · Marcus Hutter · Omar Rivasplata -
2020 Poster: Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming »
Sumanth Dathathri · Krishnamurthy Dvijotham · Alexey Kurakin · Aditi Raghunathan · Jonathan Uesato · Rudy Bunel · Shreya Shankar · Jacob Steinhardt · Ian Goodfellow · Percy Liang · Pushmeet Kohli -
2020 Spotlight: Logarithmic Pruning is All You Need »
Laurent Orseau · Marcus Hutter · Omar Rivasplata -
2020 Spotlight: PAC-Bayesian Bound for the Conditional Value at Risk »
Zakaria Mhammedi · Benjamin Guedj · Robert Williamson -
2020 Poster: Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems »
Sahin Lale · Kamyar Azizzadenesheli · Babak Hassibi · Anima Anandkumar -
2020 Poster: (De)Randomized Smoothing for Certifiable Defense against Patch Attacks »
Alexander Levine · Soheil Feizi -
2019 : Contributed Session - Spotlight Talks »
Jonathan Frankle · David Schwab · Ari Morcos · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Sho Yaida · Muqiao Yang -
2019 : Hussein Mozannar, "Fair Learning with Private Data" »
Hussein Mozannar -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Maksym Andriushchenko, "Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks" »
Maksym Andriushchenko -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 : Poster Session + Lunch »
Maxwell Nye · Robert Kim · Toby St Clere Smithe · Takeshi D. Itoh · Omar U. Florez · Vesna G. Djokic · Sneha Aenugu · Mariya Toneva · Imanol Schlag · Dan Schwartz · Max Raphael Sobroza Marques · Pravish Sainath · Peng-Hsuan Li · Rishi Bommasani · Najoung Kim · Paul Soulos · Steven Frankland · Nadezhda Chirkova · Dongqi Han · Adam Kortylewski · Rich Pang · Milena Rabovsky · Jonathan Mamou · Vaibhav Kumar · Tales Marra -
2019 : Lunch Break and Posters »
Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu -
2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 : James Lucas, "Information-theoretic limitations on novel task generalization" »
James Lucas -
2019 : Poster Session »
Clement Canonne · Kwang-Sung Jun · Seth Neel · Di Wang · Giuseppe Vietri · Liwei Song · Jonathan Lebensold · Huanyu Zhang · Lovedeep Gondara · Ang Li · FatemehSadat Mireshghallah · Jinshuo Dong · Anand D Sarwate · Antti Koskela · Joonas Jälkö · Matt Kusner · Dingfan Chen · Mi Jung Park · Ashwin Machanavajjhala · Jayashree Kalpathy-Cramer · · Vitaly Feldman · Andrew Tomkins · Hai Phan · Hossein Esfandiari · Mimansa Jaiswal · Mrinank Sharma · Jeff Druce · Casey Meehan · Zhengli Zhao · Hsiang Hsu · Davis Railsback · Abraham Flaxman · · Julius Adebayo · Aleksandra Korolova · Jiaming Xu · Naoise Holohan · Samyadeep Basu · Matthew Joseph · My Thai · Xiaoqian Yang · Ellen Vitercik · Michael Hutchinson · Chenghong Wang · Gregory Yauney · Yuchao Tao · Chao Jin · Si Kai Lee · Audra McMillan · Rauf Izmailov · Jiayi Guo · Siddharth Swaroop · Tribhuvanesh Orekondy · Hadi Esmaeilzadeh · Kevin Procopio · Alkis Polyzotis · Jafar Mohammadi · Nitin Agrawal -
2019 : Poster Session »
Gergely Flamich · Shashanka Ubaru · Charles Zheng · Josip Djolonga · Kristoffer Wickstrøm · Diego Granziol · Konstantinos Pitas · Jun Li · Robert Williamson · Sangwoong Yoon · Kwot Sin Lee · Julian Zilly · Linda Petrini · Ian Fischer · Zhe Dong · Alexander Alemi · Bao-Ngoc Nguyen · Rob Brekelmans · Tailin Wu · Aditya Mahajan · Alexander Li · Kirankumar Shiragur · Yair Carmon · Linara Adilova · SHIYU LIU · Bang An · Sanjeeb Dash · Oktay Gunluk · Arya Mazumdar · Mehul Motani · Julia Rosenzweig · Michael Kamp · Marton Havasi · Leighton P Barnes · Zhengqing Zhou · Yi Hao · Dylan Foster · Yuval Benjamini · Nati Srebro · Michael Tschannen · Paul Rubenstein · Sylvain Gelly · John Duchi · Aaron Sidford · Robin Ru · Stefan Zohren · Murtaza Dalal · Michael A Osborne · Stephen J Roberts · Moses Charikar · Jayakumar Subramanian · Xiaodi Fan · Max Schwarzer · Nicholas Roberts · Simon Lacoste-Julien · Vinay Prabhu · Aram Galstyan · Greg Ver Steeg · Lalitha Sankar · Yung-Kyun Noh · Gautam Dasarathy · Frank Park · Ngai-Man (Man) Cheung · Ngoc-Trung Tran · Linxiao Yang · Ben Poole · Andrea Censi · Tristan Sylvain · R Devon Hjelm · Bangjie Liu · Jose Gallego-Posada · Tyler Sypherd · Kai Yang · Jan Nikolas Morshuis -
2019 : Poster Session I »
Shuangjia Zheng · Arnav Kapur · Umar Asif · Eyal Rozenberg · Cyprien Gilet · Oleksii Sidorov · Yogesh Kumar · Tom Van Steenkiste · William Boag · David Ouyang · Paul Jaeger · Sheng Liu · Aparna Balagopalan · Deepta Rajan · Marta Skreta · Nikhil Pattisapu · Jann Goschenhofer · Viraj Prabhu · Di Jin · Laura-Jayne Gardiner · Irene Li · sriram kumar · Qiyuan Hu · Mehul Motani · Justin Lovelace · Usman Roshan · Lucy Lu Wang · Ilya Valmianski · Hyeonwoo Lee · Sunil Mallya · Elias Chaibub Neto · Jonas Kemp · Marie Charpignon · Amber Nigam · Wei-Hung Weng · Sabri Boughorbel · Alexis Bellot · Lovedeep Gondara · Haoran Zhang · Taha Bahadori · John Zech · Rulin Shao · Edward Choi · Laleh Seyyed-Kalantari · Emily Aiken · Ioana Bica · Yiqiu Shen · Kieran Chin-Cheong · Subhrajit Roy · Ioana Baldini · So Yeon Min · Dirk Deschrijver · Pekka Marttinen · Damian Pascual Ortiz · Supriya Nagesh · Niklas Rindtorff · Andriy Mulyar · Katharina Hoebel · Martha Shaka · Pierre Machart · Leon Gatys · Nathan Ng · Matthias Hüser · Devin Taylor · Dennis Barbour · Natalia Martinez · Clara McCreery · Benjamin Eyre · Vivek Natarajan · Ren Yi · Ruibin Ma · Chirag Nagpal · Nan Du · Chufan Gao · Anup Tuladhar · Sam Shleifer · Jason Ren · Pouria Mashouri · Ming Yang Lu · Farideh Bagherzadeh-Khiabani · Olivia Choudhury · Maithra Raghu · Scott Fleming · Mika Jain · GUO YANG · Alena Harley · Stephen Pfohl · Elisabeth Rumetshofer · Alex Fedorov · Saloni Dash · Jacob Pfau · Sabina Tomkins · Colin Targonski · Michael Brudno · Xinyu Li · Yiyang Yu · Nisarg Patel -
2019 : Poster session »
Michael Melese Woldeyohannis · Bernardt Duvenhage · Nyamos Waigama · Asaye Bir Senay · Claire Babirye · Tensaye Ayalew · Kelechi Ogueji · Vinay Prabhu · Prabu Ravindran · Fadilulah Wahab · ChukwuNonso H Nwokoye · Paul Duckworth · Hafte Abera · Abebe Mideksa · Loubna Benabbou · Anugraha Sinha · Ivan Kiskin · Robert Soden · Tupokigwe Isagah · Rehema Mwawado · Yimer Mohammed · Bryan Wilder · Daniel Omeiza · Sunayana Rane · Richard Mgaya · Samsun Knight · Jessenia Gonzalez Villarreal · Eyob Beyene · Monika Obrocka Tulinska · Luis Fernando Cantu Diaz de Leon · Joseph Aro · Michael T Smith · Michael Famoroti · Praneeth Vepakomma · Ramesh Raskar · Debjani Bhowmick · Chukwunonso H Nwokoye · Alejandro Noriega Campero · Hope Mbelwa · Anusua Trivedi -
2019 : Poster Session »
Ahana Ghosh · Javad Shafiee · Akhilan Boopathy · Alex Tamkin · Theodoros Vasiloudis · Vedant Nanda · Ali Baheri · Paul Fieguth · Andrew Bennett · Guanya Shi · Hao Liu · Arushi Jain · Jacob Tyo · Benjie Wang · Boxiao Chen · Carroll Wainwright · Chandramouli Shama Sastry · Chao Tang · Daniel S. Brown · David Inouye · David Venuto · Dhruv Ramani · Dimitrios Diochnos · Divyam Madaan · Dmitrii Krashenikov · Joel Oren · Doyup Lee · Eleanor Quint · elmira amirloo · Matteo Pirotta · Gavin Hartnett · Geoffroy Dubourg-Felonneau · Gokul Swamy · Pin-Yu Chen · Ilija Bogunovic · Jason Carter · Javier Garcia-Barcos · Jeet Mohapatra · Jesse Zhang · Jian Qian · John Martin · Oliver Richter · Federico Zaiter · Tsui-Wei Weng · Karthik Abinav Sankararaman · Kyriakos Polymenakos · Lan Hoang · mahdieh abbasi · Marco Gallieri · Mathieu Seurin · Matteo Papini · Matteo Turchetta · Matthew Sotoudeh · Mehrdad Hosseinzadeh · Nathan Fulton · Masatoshi Uehara · Niranjani Prasad · Oana-Maria Camburu · Patrik Kolaric · Philipp Renz · Prateek Jaiswal · Reazul Hasan Russel · Riashat Islam · Rishabh Agarwal · Alexander Aldrick · Sachin Vernekar · Sahin Lale · Sai Kiran Narayanaswami · Samuel Daulton · Sanjam Garg · Sebastian East · Shun Zhang · Soheil Dsidbari · Justin Goodwin · Victoria Krakovna · Wenhao Luo · Wesley Chung · Yuanyuan Shi · Yuh-Shyang Wang · Hongwei Jin · Ziping Xu -
2019 : Contributed Talk: Neural Markov Logic Networks »
Ondrej Kuzelka -
2019 Poster: Lookahead Optimizer: k steps forward, 1 step back »
Michael Zhang · James Lucas · Jimmy Ba · Geoffrey E Hinton -
2019 Poster: PAC-Bayes Un-Expected Bernstein Inequality »
Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj -
2019 Poster: Minimum Stein Discrepancy Estimators »
Alessandro Barp · Francois-Xavier Briol · Andrew Duncan · Mark Girolami · Lester Mackey -
2019 Poster: Inherent Tradeoffs in Learning Fair Representations »
Han Zhao · Geoff Gordon -
2019 Poster: Are deep ResNets provably better than linear predictors? »
Chulhee Yun · Suvrit Sra · Ali Jadbabaie -
2019 Poster: Lower Bounds on Adversarial Robustness from Optimal Transport »
Arjun Nitin Bhagoji · Daniel Cullina · Prateek Mittal -
2019 Poster: Learning Neural Networks with Adaptive Regularization »
Han Zhao · Yao-Hung Hubert Tsai · Russ Salakhutdinov · Geoffrey Gordon -
2019 Poster: Provably robust boosted decision stumps and trees against adversarial attacks »
Maksym Andriushchenko · Matthias Hein -
2019 Poster: Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks »
Qiyang Li · Saminul Haque · Cem Anil · James Lucas · Roger Grosse · Joern-Henrik Jacobsen -
2019 Poster: Image Synthesis with a Single (Robust) Classifier »
Shibani Santurkar · Andrew Ilyas · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2019 Poster: Streaming Bayesian Inference for Crowdsourced Classification »
Edoardo Manino · Long Tran-Thanh · Nicholas Jennings -
2019 Poster: Multi-task Learning for Aggregated Data using Gaussian Processes »
Fariba Yousefi · Michael T Smith · Mauricio Álvarez -
2019 Poster: Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity »
Chulhee Yun · Suvrit Sra · Ali Jadbabaie -
2019 Spotlight: Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity »
Chulhee Yun · Suvrit Sra · Ali Jadbabaie -
2019 Poster: A Geometric Perspective on Optimal Representations for Reinforcement Learning »
Marc Bellemare · Will Dabney · Robert Dadashi · Adrien Ali Taiga · Pablo Samuel Castro · Nicolas Le Roux · Dale Schuurmans · Tor Lattimore · Clare Lyle -
2019 Poster: Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse »
James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi -
2019 Poster: Language as an Abstraction for Hierarchical Deep Reinforcement Learning »
YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn -
2019 Poster: On Tractable Computation of Expected Predictions »
Pasha Khosravi · YooJung Choi · Yitao Liang · Antonio Vergari · Guy Van den Broeck -
2019 Poster: Unlabeled Data Improves Adversarial Robustness »
Yair Carmon · Aditi Raghunathan · Ludwig Schmidt · John Duchi · Percy Liang -
2019 Poster: Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs »
Pedro Mercado · Francesco Tudisco · Matthias Hein -
2019 Poster: Learning Reward Machines for Partially Observable Reinforcement Learning »
Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith -
2019 Spotlight: Learning Reward Machines for Partially Observable Reinforcement Learning »
Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith -
2019 Poster: Policy Evaluation with Latent Confounders via Optimal Balance »
Andrew Bennett · Nathan Kallus -
2019 Poster: Adaptive Gradient-Based Meta-Learning Methods »
Misha Khodak · Maria-Florina Balcan · Ameet Talwalkar -
2019 Poster: Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks »
Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette -
2019 Poster: Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products »
Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava -
2019 Poster: Residual Flows for Invertible Generative Modeling »
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen -
2019 Spotlight: Residual Flows for Invertible Generative Modeling »
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen -
2019 Poster: Deep Generalized Method of Moments for Instrumental Variable Analysis »
Andrew Bennett · Nathan Kallus · Tobias Schnabel -
2019 Poster: Adversarial Examples Are Not Bugs, They Are Features »
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2019 Poster: On the Hardness of Robust Classification »
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell -
2019 Spotlight: Adversarial Examples Are Not Bugs, They Are Features »
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2019 Spotlight: On the Hardness of Robust Classification »
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell -
2018 : Poster Session »
Carl Trimbach · Mennatullah Siam · Rodrigo Toro Icarte · Zhongtian Dai · Sheila McIlraith · Matthew Rahtz · Robert Sheline · Christopher MacLellan · Carolin Lawrence · Stefan Riezler · Dylan Hadfield-Menell · Fang-I Hsiao -
2018 : Poster Session »
Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Vagelis Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg -
2018 : Teaching Multiple Tasks to an RL Agent using LTL »
Rodrigo Toro Icarte · Sheila McIlraith -
2018 : Poster Session 1 »
Stefan Gadatsch · Danil Kuzin · Navneet Kumar · Patrick Dallaire · Tom Ryder · Remus-Petru Pop · Nathan Hunt · Adam Kortylewski · Sophie Burkhardt · Mahmoud Elnaggar · Dieterich Lawson · Yifeng Li · Jongha (Jon) Ryu · Juhan Bae · Micha Livne · Tim Pearce · Mariia Vladimirova · Jason Ramapuram · Jiaming Zeng · Xinyu Hu · Jiawei He · Danielle Maddix · Arunesh Mittal · Albert Shaw · Tuan Anh Le · Alexander Sagel · Lisha Chen · Victor Gallego · Mahdi Karami · Zihao Zhang · Tal Kachman · Noah Weber · Matt Benatan · Kumar K Sricharan · Vincent Cartillier · Ivan Ovinnikov · Buu Phan · Mahmoud Hossam · Liu Ziyin · Valerii Kharitonov · Eugene Golikov · Qiang Zhang · Jae Myung Kim · Sebastian Farquhar · Jishnu Mukhoti · Xu Hu · Gregory Gundersen · Lavanya Sita Tekumalla · Paris Perdikaris · Ershad Banijamali · Siddhartha Jain · Ge Liu · Martin Gottwald · Katy Blumer · Sukmin Yun · Ranganath Krishnan · Roman Novak · Yilun Du · Yu Gong · Beliz Gokkaya · Jessica Ai · Daniel Duckworth · Johannes von Oswald · Christian Henning · Louis-Philippe Morency · Ali Ghodsi · Mahesh Subedar · Jean-Pascal Pfister · Rémi Lebret · Chao Ma · Aleksander Wieczorek · Laurence Perreault Levasseur -
2018 Poster: Distributionally Robust Graphical Models »
Rizal Fathony · Ashkan Rezaei · Mohammad Ali Bashiri · Xinhua Zhang · Brian Ziebart -
2018 Poster: A Bayesian Nonparametric View on Count-Min Sketch »
Diana Cai · Michael Mitzenmacher · Ryan Adams -
2018 Poster: PAC-learning in the presence of adversaries »
Daniel Cullina · Arjun Nitin Bhagoji · Prateek Mittal -
2018 Poster: On the Local Hessian in Back-propagation »
Huishuai Zhang · Wei Chen · Tie-Yan Liu -
2018 Poster: Constant Regret, Generalized Mixability, and Mirror Descent »
Zakaria Mhammedi · Robert Williamson -
2018 Poster: On preserving non-discrimination when combining expert advice »
Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro -
2018 Poster: PAC-Bayes bounds for stable algorithms with instance-dependent priors »
Omar Rivasplata · Emilio Parrado-Hernandez · John Shawe-Taylor · Shiliang Sun · Csaba Szepesvari -
2018 Spotlight: Constant Regret, Generalized Mixability, and Mirror Descent »
Zakaria Mhammedi · Robert Williamson -
2018 Poster: How Does Batch Normalization Help Optimization? »
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry -
2018 Poster: A Spectral View of Adversarially Robust Features »
Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant -
2018 Poster: Semidefinite relaxations for certifying robustness to adversarial examples »
Aditi Raghunathan · Jacob Steinhardt · Percy Liang -
2018 Oral: How Does Batch Normalization Help Optimization? »
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry -
2018 Spotlight: A Spectral View of Adversarially Robust Features »
Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant -
2018 Poster: Adversarial Multiple Source Domain Adaptation »
Han Zhao · Shanghang Zhang · Guanhang Wu · José M. F. Moura · Joao P Costeira · Geoffrey Gordon -
2017 : Poster Session 2 »
Farhan Shafiq · Antonio Tomas Nevado Vilchez · Takato Yamada · Sakyasingha Dasgupta · Robin Geyer · Moin Nabi · Crefeda Rodrigues · Edoardo Manino · Alexantrou Serb · Miguel A. Carreira-Perpinan · Kar Wai Lim · Bryan Kian Hsiang Low · Rohit Pandey · Marie C White · Pavel Pidlypenskyi · Xue Wang · Christine Kaeser-Chen · Michael Zhu · Suyog Gupta · Sam Leroux -
2017 : Poster Session 1 and Lunch »
Sumanth Dathathri · Akshay Rangamani · Prakhar Sharma · Aruni RoyChowdhury · Madhu Advani · William Guss · Chulhee Yun · Corentin Hardy · Michele Alberti · Devendra Sachan · Andreas Veit · Takashi Shinozaki · Peter Chin -
2017 : A3T: Adversarially Augmented Adversarial Training »
Aristide Baratin · Simon Lacoste-Julien · Yoshua Bengio · Akram Erraqabi -
2017 : Synthesizing Robust Adversarial Examples »
Andrew Ilyas · Anish Athalye · Logan Engstrom · Kevin Kwok -
2017 : Spotlights »
Chara Podimata · Song Zuo · Zhe Feng · Anthony Kim -
2017 Poster: Learning Mixture of Gaussians with Streaming Data »
Aditi Raghunathan · Prateek Jain · Ravishankar Krishnawamy -
2017 Poster: Linear Time Computation of Moments in Sum-Product Networks »
Han Zhao · Geoffrey Gordon -
2017 Poster: Alternating minimization for dictionary learning with random initialization »
Niladri Chatterji · Peter Bartlett -
2017 Poster: Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation »
Matthias Hein · Maksym Andriushchenko -
2016 Poster: Scalable Adaptive Stochastic Optimization Using Random Projections »
Gabriel Krummenacher · Brian McWilliams · Yannic Kilcher · Joachim M Buhmann · Nicolai Meinshausen -
2016 Poster: A Unified Approach for Learning the Parameters of Sum-Product Networks »
Han Zhao · Pascal Poupart · Geoffrey Gordon -
2016 Poster: Learning in Games: Robustness of Fast Convergence »
Dylan Foster · zhiyuan li · Thodoris Lykouris · Karthik Sridharan · Eva Tardos -
2016 Poster: Lifelong Learning with Weighted Majority Votes »
Anastasia Pentina · Ruth Urner -
2015 Workshop: Transfer and Multi-Task Learning: Trends and New Perspectives »
Anastasia Pentina · Christoph Lampert · Sinno Jialin Pan · Mingsheng Long · Judy Hoffman · Baochen Sun · Kate Saenko -
2015 Poster: Lifelong Learning with Non-i.i.d. Tasks »
Anastasia Pentina · Christoph Lampert -
2015 Poster: Community Detection via Measure Space Embedding »
Mark Kozdoba · Shie Mannor