2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2026
Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking
Yanxu Su, Xiaorui Tong, Changyin Sun
Zeroth-order (ZO) optimization is indispensable for complex non-convex tasks where explicit gradients are computationally prohibitive or strictly inaccessible. For deploying ZO met…
math.OC2019★ 2 cited
Contraction Analysis on Primal-Dual Gradient Optimization
Yanxu Su, Yang Shi, Changyin Sun
This paper analyzes the contraction of the primal-dual gradient optimization via contraction theory in the context of discrete-time updating dynamics. The contraction theory based…
math.OC2019
Distributed Model Predictive Control Under Inexact Primal-Dual Gradient Optimization Based on Contraction Analysis
Yanxu Su, Yang Shi, Changyin Sun
This paper develops a distributed model predictive control (DMPC) strategy for a class of discrete-time linear systems with consideration of globally coupled constraints. The DMPC…