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minimax optimization

223 papers

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Co-occurring keywords · papers mentioning both

non-convex optimization (27) gradient descent ascent (26) stochastic optimization (21) adversarial learning (19) generative adversarial network (18) convergence rate (17) gradient descent (16) convex optimization (16) stochastic gradient descent (15) variance reduction (13)

Papers

Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling NeurIPS 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization ICML 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024 Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model NeurIPS 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content ICML 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 SDEs for Minimax Optimization AISTATS 2024