minimax optimization

Generalizing off-policy learning under sample selection bias UAI 2022 LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022 Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems ALT 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022 Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs ICLR 2022 Minimax Optimization: The Case of Convex-Submodular AISTATS 2022 Minimax Optimization with Smooth Algorithmic Adversaries ICLR 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization NeurIPS 2022 On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022 Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NeurIPS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NeurIPS 2022 Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization NeurIPS 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness AISTATS 2022 Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods COLT 2022 The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NeurIPS 2022