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min-max optimization

115 papers

MMO

Papers

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024 Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ICLR 2024 Accelerated Single-Call Methods for Constrained Min-Max Optimization ICLR 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization ICLR 2023 AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution NeurIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Distributionally Robust Recourse Action ICLR 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions ICLR 2023 Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective CVPR 2023 Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NeurIPS 2023 Responsible AI (RAI) Games and Ensembles NeurIPS 2023 STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023 Stochastic Differentially Private and Fair Learning ICLR 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Towards convergence to Nash equilibria in two-team zero-sum games ICLR 2023 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Adversarial Reweighting for Speaker Verification Fairness Interspeech 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022