NeurIPS 2025 "minimax optimization" Papers
4 papers found
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
Xiaochuan Gong, Jie Hao, Mingrui Liu
NeurIPS 2025posterarXiv:2509.15399
1
citations
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
NeurIPS 2025posterarXiv:2508.16487
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
NeurIPS 2025poster
Quantum Speedups for Minimax Optimization and Beyond
Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.
NeurIPS 2025poster