conftrace_

minimax optimization

186 papers

Explore in graph

Co-occurring keywords

nonconvex optimization (316) gradient descent ascent (31) stochastic optimization (1060) adversarial learning (1595) convex optimization (1321) stochastic gradient descent (1091) convergence rate (607) variance reduction (523) generative adversarial network (1944) gradient descent (1144)

Papers

Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024
A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Adversarially Robust Decision Transformer NIPS 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024
Robust Reinforcement Learning with General Utility NIPS 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
High-probability complexity bounds for stochastic non-convex minimax optimization NIPS 2024
Low-rank matrix recovery with unknown correspondence UAI 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation NIPS 2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization AISTATS 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NIPS 2023
Minimax-Bayes Reinforcement Learning AISTATS 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023