activity
20222026
most citedAn Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs

2 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

math.OC2026

Revisiting Proximal Bundle Methods: Improved Rates under H{ö}lder Smoothness

Feng-Yi Liao, Yang Zheng

Proximal bundle methods (PBMs) are classical algorithms for nonsmooth convex optimization. Existing analyses of the classical PBM couple the null steps with the descent test. This…

math.OC2026

Weak Convexity and Proximal Bundle Methods for Nonsmooth Policy Optimization in Robust Control

Yuto Watanabe, Feng-Yi Liao, Yang Zheng

We study policy optimization for discrete-time robust control with static output-feedback, and present the first feasibility-preserving algorithm with a determ…