How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond
math.OC, cs.LG
Submitted: 2026-09-08
Updated: 2026-09-08
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Related papers
- Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
- Adam-HNAG: A Convergent Reformulation of Adam with Accelerated Rate
- Incremental Learning in Mirror Flows
- Online Control via Counterfactual Tracking
- Asynchronous Replanning in Two Population Linear Quadratic Mean Field Games: Information Requirements and Stability
- Petrov-Galerkin operator inference with application to stability-encouraging identification