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Poster
Tue 14:00 Learning Predictions for Algorithms with Predictions
Misha Khodak · Maria-Florina Balcan · Ameet Talwalkar · Sergei Vassilvitskii
Workshop
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Poster
Thu 14:00 Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
Poster
Wed 14:00 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
Andrea Tirinzoni · Aymen Al Marjani · Emilie Kaufmann
Workshop
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Runlong Zhou · Yuandong Tian · YI WU · Simon Du
Workshop
Graph Q-Learning for Combinatorial Optimization
Victoria Magdalena Dax · Jiachen Li · Kevin Leahy · Mykel J Kochenderfer
Workshop
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
Panel
Tue 9:15 Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda · Daniel Vial
Poster
Wed 9:00 A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison · Luke Metz · Jascha Sohl-Dickstein
Poster
Tue 14:00 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Laurent Condat · Kai Yi · Peter Richtarik
Poster
Tue 14:00 Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
Poster
Tue 14:00 Truly Deterministic Policy Optimization
Ehsan Saleh · Saba Ghaffari · Tim Bretl · Matthew West