minimax optimization

A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems JMLR 2026 A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization JMLR 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation AAAI 2026 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies ICLR 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization AISTATS 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 Locally Private Sampling with Public Data AISTATS 2025 PEARL: Towards Permutation-Resilient LLMs ICLR 2025 Second-Order Min-Max Optimization with Lazy Hessians ICLR 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adversarially Robust Decision Transformer NeurIPS 2024 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Delving into the Convergence of Generalized Smooth Minimax Optimization ICML 2024