minimax problem

Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 One-Shot Strategic Classification Under Unknown Costs ICML 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems JMLR 2023 Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise NeurIPS 2022 Differentially private SGDA for minimax problems UAI 2022 Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022 High Probability Generalization Bounds with Fast Rates for Minimax Problems ICLR 2022 Stability and Generalization for Markov Chain Stochastic Gradient Methods NeurIPS 2022 Differentiating the Value Function by using Convex Duality AISTATS 2021 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems ICML 2021 Adversarial Machine Learning with Double Oracle IJCAI 2019 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Learning Non-Linear Combinations of Kernels NeurIPS 2009