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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

Fri Dec 13 05:00 PM -- 06:00 PM (PST) @
in Information Theory and Machine Learning »

Author Information

Gergely Flamich (University of Cambridge)
Shashanka Ubaru (IBM T. J. Watson Research Center)
Charles Zheng (National Institute of Mental Health)
Josip Djolonga (Google Research, Brain Team)
Kristoffer Wickstrøm (UiT The Arctic University of Norway)
Diego Granziol (University of Oxford)
Konstantinos Pitas (EPFL)
Jun Li (Florida International University)
Robert Williamson (Australian National University & Data61)
Sangwoong Yoon (Seoul National University)
Kwot Sin Lee (University of Cambridge)
Julian Zilly (ETH Zurich)

PhD student at ETH Zurich

Linda Petrini (Google)
Ian Fischer (Google)
Zhe Dong (Google AI)
Alexander Alemi (Google)
Bao-Ngoc Nguyen (Singapore University of Technology and Design)
Rob Brekelmans (University of Southern California)
Tailin Wu (MIT)
Aditya Mahajan (McGill University)
Alexander Li (University of California, Berkeley)
Kirankumar Shiragur (Stanford University)
Yair Carmon (Stanford University)
Linara Adilova (Fraunhofer IAIS)
SHIYU LIU (National University of Singapore)
Bang An (State University of New York at Buffalo)
Sanjeeb Dash (IBM Research)
Oktay Gunluk (IBM Research)
Arya Mazumdar (University of Massachusetts Amherst)
Mehul Motani (National University of Singapore)

Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and the Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering. Dr. Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory, machine learning, wireless and sensor networks, and energy harvesting communications. Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He actively participates in the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). He is a Fellow of the IEEE and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.

Julia Rosenzweig (Fraunhofer IAIS)
Michael Kamp (Fraunhofer IAIS)
Marton Havasi (University of Cambridge)
Leighton P Barnes (Stanford University)
Zhengqing Zhou (Stanford University)
Yi Hao (University of California, San Diego)

Fifth-year Ph.D. student supervised by Prof. Alon Orlitsky at UC San Diego. Broadly interested in Machine Learning, Learning Theory, Algorithm Design, Symbolic and Numerical Optimization. Seeking a summer 2020 internship in Data Science and Machine Learning.

Dylan Foster (MIT)
Yuval Benjamini (Hebrew University)
Nati Srebro (TTI-Chicago)
Michael Tschannen (Google Brain)
Paul Rubenstein (Cambridge / Max Planck Institute IS)
Sylvain Gelly (Google Brain)
John Duchi (Stanford)
Aaron Sidford (Stanford)
Robin Ru (Oxford University)
Stefan Zohren (Oxford University)
Murtaza Dalal (University of California, Berkeley)
Michael A Osborne (U Oxford)
Stephen J Roberts (University of Oxford)
Moses Charikar (Stanford University)
Jayakumar Subramanian (McGill University)
Xiaodi Fan (Florida International University)
Max Schwarzer (Mila, Université de Montréal)
Nicholas Roberts (Carnegie Mellon University)
Simon Lacoste-Julien (Mila, Université de Montréal)

Simon Lacoste-Julien is an associate professor at Mila and DIRO from Université de Montréal, and Canada CIFAR AI Chair holder. He also heads part time the SAIT AI Lab Montreal from Samsung. His research interests are machine learning and applied math, with applications in related fields like computer vision and natural language processing. He obtained a B.Sc. in math., physics and computer science from McGill, a PhD in computer science from UC Berkeley and a post-doc from the University of Cambridge. He spent a few years as a research faculty at INRIA and École normale supérieure in Paris before coming back to his roots in Montreal in 2016 to answer the call from Yoshua Bengio in growing the Montreal AI ecosystem.

Vinay Prabhu (UnifyID Inc)
Aram Galstyan (USC Information Sciences Institute)
Greg Ver Steeg (USC Information Sciences Institute)
Lalitha Sankar (Arizona State University)
Yung-Kyun Noh (Seoul National University)
Gautam Dasarathy (Arizona State University)
Frank Park (Seoul National University)
Ngai-Man (Man) Cheung (Singapore University of Technology and Design)
Ngoc-Trung Tran (Singapore University of Technology and Design)
Linxiao Yang (University of Electronic Science and Technology of China; Singapore University of Technology and Design)
Ben Poole (Google Brain)
Andrea Censi (ETH Zurich)
Tristan Sylvain (MILA)
R Devon Hjelm (Microsoft Research)
Bangjie Liu (Citadel)
Jose Gallego-Posada (Mila, Université de Montréal)
Tyler Sypherd (Arizona State University)
Kai Yang (Tongji University)
Jan Nikolas Morshuis (SAP ML Research)

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