minimax optimization

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024 Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements NeurIPS 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024 Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems ICLR 2024 Two-timescale Extragradient for Finding Local Minimax Points ICLR 2024 Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization AISTATS 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NeurIPS 2023 Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective NeurIPS 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023 Causal Balancing for Domain Generalization ICLR 2023 Certified Minimax Unlearning with Generalization Rates and Deletion Capacity NeurIPS 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap COLT 2023 Low-rank matrix recovery with unknown correspondence UAI 2023 Minimax-Bayes Reinforcement Learning AISTATS 2023 Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NeurIPS 2023 Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization NeurIPS 2023