|
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
|
|
|
Workshop
|
|
Minimax Optimal Fair Regression under Linear Model
Kazuto Fukuchi · Jun Sakuma
|
|
|
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
|
|
|
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
|
Tue 14:00
|
On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
|
|
|
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
|
|
