Co-occurring keywords · papers mentioning both
Papers
Convergence of log(1/ε) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
NeurIPS 2024
Accelerated Single-Call Methods for Constrained Min-Max Optimization
ICLR 2023
Competitive Gradient Optimization
ICML 2023
Doubly Optimal No-Regret Learning in Monotone Games
ICML 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
ICML 2023
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
NeurIPS 2022
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
NeurIPS 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
NeurIPS 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NeurIPS 2022
Tight last-iterate convergence rates for no-regret learning in multi-player games
NeurIPS 2020
Accelerating Online Convex Optimization via Adaptive Prediction
AISTATS 2016