logo
today local_bar
Minimax optimization

4 papers across 2 sessions

Poster Session 2

3 papers
Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Online Optimization for Offline Safe Reinforcement Learning
#210 · Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Jana Doppa

Creating safe and reward maximization policies from offline data via min-max optimization formulation and solving it using no-regret algorithms
Quantum Speedups for Minimax Optimization and Beyond
#713 · Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang, Institute of Computing Xiaoming Sun, John C. S. Lui
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
#707 · Xinwen Zhang, Hongchang Gao

Poster Session 3

1 paper
Thursday, December 4, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
#813 Spotlight · Hongxu Chen, Ke Wei, Haishan Ye, Luo Luo