Co-occurring keywords · papers mentioning both
Papers
High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games
COLT 2026
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
ICML 2025
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise
JMLR 2024
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
ICML 2024
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
ICLR 2024
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
NeurIPS 2023