Poster "minimax optimization" Papers
15 papers found
Conference
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
Xiaochuan Gong, Jie Hao, Mingrui Liu
NEURIPS 2025arXiv:2509.15399
1
citations
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
NEURIPS 2025arXiv:2508.16487
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
NEURIPS 2025arXiv:2510.22027
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
NEURIPS 2025
Quantum Speedups for Minimax Optimization and Beyond
Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.
NEURIPS 2025
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
NEURIPS 2025arXiv:2510.13445
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen, Chengchang Liu, Jingzhao Zhang
ICLR 2025arXiv:2410.09568
4
citations
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
Xinwen Zhang, Ali Payani, Myungjin Lee et al.
ICML 2024
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
Zhenwei Lin, Chenyu Xue, Qi Deng et al.
ICML 2024arXiv:2406.00274
3
citations
Delving into the Convergence of Generalized Smooth Minimax Optimization
Wenhan Xian, Ziyi Chen, Heng Huang
ICML 2024
Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
Kyuwon Kim, Donghwan Kim
ICML 2024
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang et al.
ICML 2024arXiv:2403.03562
7
citations
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido, Pranshu Malviya, Aristide Baratin et al.
ICML 2024arXiv:2307.16704
3
citations
One-Shot Strategic Classification Under Unknown Costs
Elan Rosenfeld, Nir Rosenfeld
ICML 2024arXiv:2311.02761
10
citations
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
Zhuowen Yuan, Zidi Xiong, Yi Zeng et al.
ICML 2024arXiv:2403.13031
67
citations