minimax optimization

Optimal Learners for Realizable Regression: PAC Learning and Online Learning NeurIPS 2023 PRISE: Demystifying Deep Lucas-Kanade With Strongly Star-Convex Constraints for Multimodel Image Alignment CVPR 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning NeurIPS 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NeurIPS 2023 Task-Robust Pre-Training for Worst-Case Downstream Adaptation NeurIPS 2023 TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization ICLR 2023 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training ICCV 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NeurIPS 2023 Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023 Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 Adversarial Unlearning of Backdoors via Implicit Hypergradient ICLR 2022 A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022 Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NeurIPS 2022 Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NeurIPS 2022 Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NeurIPS 2022 GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022