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Poster Session
Phillipp Schoppmann · Patrick Yu · Valerie Chen · Travis Dick · Marc Joye · Ningshan Zhang · Frederik Harder · Olli Saarikivi · Théo Ryffel · Yunhui Long · Théo JOURDAN · Di Wang · Antonio Marcedone · Negev Shekel Nosatzki · Yatharth A Dubey · Antti Koskela · Peter Bloem · Aleksandra Korolova · Martin Bertran · Hao Chen · Galen Andrew · Natalia Martinez · Janardhan Kulkarni · Jonathan Passerat-Palmbach · Guillermo Sapiro · Amrita Roy Chowdhury

Sat Dec 08 02:15 PM -- 03:15 PM (PST) @
in Privacy Preserving Machine Learning »

Author Information

Phillipp Schoppmann (Humboldt University of Berlin)
Patrick Yu (Monta Vista High School)
Valerie Chen (Yale University)
Travis Dick (Carnegie Mellon University)
Marc Joye (OneSpan)
Ningshan Zhang (NYU)
Frederik Harder (Max Planck Institute for Intelligent Systems)
Olli Saarikivi (Microsoft Research)
Théo Ryffel (Imperial College London & OpenMined)
Yunhui Long (University of Illinois at Urbana Champaign)
Théo JOURDAN (CITI INRIA)
Di Wang (State University of New York at Buffalo)
Antonio Marcedone (Cornell University)
Negev Shekel Nosatzki (Columbia University)
Yatharth A Dubey (Georgia Institute of Technology)
Antti Koskela (University of Helsinki)
Peter Bloem (Vrije Universiteit)
Aleksandra Korolova (University of Southern California)
Martin Bertran (Duke University)

I am a PhD student at Duke University. My main research interests are robustness, generalization, and representation learning. My work has focused on robustness in supervised learning in the context of fairness and Pareto efficiency, and on studying the characteristics of good representations for generalization in the context of reinforcement learning.

Hao Chen (Microsoft Research)
Galen Andrew (Google)
Natalia Martinez (Duke University)
Janardhan Kulkarni (MSR, Redmond)
Jonathan Passerat-Palmbach (Imperial College London)
Guillermo Sapiro (Duke University)
Amrita Roy Chowdhury (University of Wisconsin-Madison)

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