Showing math.OCShow all
2 papers · 1 filter
math.OC2025
Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization
Yufeng Yang, Erin Tripp, Yifan Sun +2
Recent studies have shown that many nonconvex machine learning problems satisfy a generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. Howeve…
math.OC2025
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
Yufeng Yang, Yi Zhou, Zhaosong Lu
Distributionally robust optimization (DRO) is a powerful technique to train robust models against data distribution shift. This paper aims to solve regularized nonconvex DRO proble…