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Poster
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Thu 9:00
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Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
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Poster
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Thu 9:00
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Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang
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Workshop
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Sat 9:30
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Niao He, Simple Fixes for Adaptive Gradient Methods for Nonconvex Min-Max Optimization
Niao He
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Poster
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Thu 9:00
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Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Workshop
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SoftTreeMax: Policy Gradient with Tree Search
Gal Dalal · Assaf Hallak · Shie Mannor · Gal Chechik
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Workshop
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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
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Poster
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Wed 14:00
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A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen · Junyu Zhang · Zaiwen Wen
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Poster
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Thu 14:00
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Recursive Reasoning in Minimax Games: A Level k Gradient Play Method
Zichu Liu · Lacra Pavel
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Workshop
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On All-Action Policy Gradients
Michal Nauman · Marek Cygan
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Workshop
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Quadratic minimization: from conjugate gradients to an adaptive heavy-ball method with Polyak step-sizes
Baptiste Goujaud · Adrien Taylor · Aymeric Dieuleveut
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Poster
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Wed 14:00
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Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia · Yuyang Deng · Haochuan Li · Mehrdad Mahdavi
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