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Mon 1:00 Representation Learning Without Labels
S. M. Ali Eslami · Irina Higgins · Danilo J. Rezende
Mon 8:00 Model-Based Methods in Reinforcement Learning
Igor Mordatch · Jessica Hamrick
Mon 8:00 Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
Andrew Wilson
Affinity Workshop
Mon 8:40 DeepMind: DeepMind at WiML Un-workshop
Meire Fortunato
Affinity Workshop
Mon 11:00 Invited Talk: Doina Precup on Building Knowledge for AI Agents with Reinforcement Learning
Doina Precup
Affinity Workshop
Mon 12:35 Mentoring Panel: Doina Precup, Deborah Raji, Anima Anandkumar, Angjoo Kanazawa and Sinead Williamson (moderator).
Doina Precup · Inioluwa Raji · Angjoo Kanazawa · Sinead A Williamson · Animashree Anandkumar
Tue 7:00 A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
Tue 7:00 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Tue 7:00 Taylor Expansion Policy Optimization
Yunhao Tang · Michal Valko · Remi Munos
Tue 7:00 Variational Bayesian Quantization
Yibo Yang · Robert Bamler · Stephan Mandt
Tue 7:00 Improving the Gating Mechanism of Recurrent Neural Networks
Albert Gu · Caglar Gulcehre · Thomas Paine · Matthew Hoffman · Razvan Pascanu
Tue 7:00 On Second-Order Group Influence Functions for Black-Box Predictions
Samyadeep Basu · Xuchen You · Soheil Feizi