32 Results

Poster	Tue 14:00	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
Panel	Tue 9:15	Panel 1B-1: Online Minimax Multiobjective… & Minimax-Optimal Multi-Agent RL… Gen Li · Georgy Noarov
Panel	Tue 9:15	Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for… Clémence Réda · Daniel Vial
Poster	Wed 14:00	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games Sihan Zeng · Thinh Doan · Justin Romberg
Poster		Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm HuiYang Shao · Qianqian Xu · Zhiyong Yang · Shilong Bao · Qingming Huang
Workshop		Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
Poster	Tue 14:00	On the inability of Gaussian process regression to optimally learn compositional functions Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
Poster	Tue 9:00	Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling Dmitry Kovalev · Alexander Gasnikov · Peter Richtarik
Workshop		Minimax Optimal Fair Regression under Linear Model Kazuto Fukuchi · Jun Sakuma
Poster	Tue 14:00	Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
Poster		Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition Lesi Chen · Boyuan Yao · Luo Luo
Poster	Wed 9:00	The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization Dmitry Kovalev · Alexander Gasnikov