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minimax optimization

186 papers

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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

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity NIPS 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective NIPS 2023
Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023
Optimal Learners for Realizable Regression: PAC Learning and Online Learning NIPS 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation NIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NIPS 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NIPS 2023
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NIPS 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NIPS 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization NIPS 2023
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NIPS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NIPS 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NIPS 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022