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

Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NIPS 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NIPS 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022
What is a Good Metric to Study Generalization of Minimax Learners? NIPS 2022
Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022
Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization NIPS 2022
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets NIPS 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NIPS 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NIPS 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
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NIPS 2022