conftrace_

stochastic gradient descent ascent

8 papers

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Also known as

SGDA

Co-occurring keywords · papers mentioning both

minimax optimization (4) non-convex optimization (4) heavy-tailed noise (1) wasserstein gradient flow (1) overparameterized neural network (1) mean-field analysis (1) stability argument (1) high probability convergence (1) image distribution (1) min-max game (1)

Papers

A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization JMLR 2026 High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games COLT 2026 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions ICLR 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NeurIPS 2021