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2017 NIPS Poster for web

NIPS 2017 . LONG BEACH CA | DEC 4 - 9 | TUTORIALS - DEC 4TH INVITED SPEAKERS - DEC 5TH - 7TH SYMPOSIA - DEC 7TH. Statistical Relational Artificial Intelligence: Logic, Pieter Abbeel (UC Berkely, Open AI) Interpretable Machine Learning Probability and Computation Deep Learning for Robotics Andrew G. Wilson Jason Yosinski Patrice Simard Luc De Raedt, David Poole, Kristian Kersting, Sriraam Natarajan Rich Caruana William Herlands Kate Crawford (Microsoft Research). Reinforcement Learning with People The Trouble with Bias Deep Reinforcement Learning Emma Brunskill Pieter Abbeel Yan Duan David Silver Brendan J Frey (Deep Genomics, Vector Institute, U. Toronto) Satinder Singh Junhyuk Oh Rein Houthooft A Primer on Optimal Transport Why AI Will Make it Possible to Reprogram the Human Genome Marco Cuturi, Justin Solomon Kinds of Intelligence: Types, Tests and Geometric Deep Learning on Graphs & Manifolds Lise Getoor (UC Santa Cruz) Meeting the Needs of Society Michael Bronstein, Joan Bruna, Arthur Szlam, Xavier Bresson, The Unreasonable Effectiveness of Structure Jos Hern ndez-Orallo Zoubin Ghahramani Yann L

LONG BEACH CA | DEC 4 - 9 | NIPS.CC NIPS 2017 TUTORIALS - DEC 4TH Statistical Relational Artificial Intelligence: Logic, Probability and Computation Luc De Raedt, David Poole, Kristian Kersting, Sriraam Natarajan Reinforcement Learning with People Emma Brunskill A Primer on Optimal Transport Marco Cuturi, Justin Solomon

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