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minimax optimization

186 papers

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Co-occurring keywords

nonconvex optimization (316) gradient descent ascent (31) stochastic optimization (1060) adversarial learning (1595) convex optimization (1321) stochastic gradient descent (1091) convergence rate (607) variance reduction (523) generative adversarial network (1944) gradient descent (1144)

Papers

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026
Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation AAAI 2026
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
Efficient Dataset Distillation via Minimax Diffusion CVPR 2024
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Robust Reinforcement Learning with General Utility NIPS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
SDEs for Minimax Optimization AISTATS 2024
Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024