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20182025
most citedLinear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming

2 citations · 2 across the 6 of their papers we have counts for

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math.OC2025

New Classes of Non-monotone Variational Inequality Problems Solvable via Proximal Gradient on Smooth Gap Functions

Lei Zhao, Daoli Zhu, Shuzhong Zhang

In this paper, we study the local linear convergence behavior of proximal-gradient (PG) descent algorithm on a parameterized gap-function reformulation of a smooth but non-monotone…

math.OC2023

A Unified Analysis on the Subgradient Upper Bounds for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions

Daoli Zhu, Lei Zhao, Shuzhong Zhang

This paper presents a unified analysis for the proximal subgradient method (Prox-SubGrad) type approach to minimize an overall objective of , subject to convex constrain…

math.OC2023

An Augmented Lagrangian Approach to Conically Constrained Non-monotone Variational Inequality Problems

Lei Zhao, Daoli Zhu, Shuzhong Zhang

In this paper we consider a non-monotone (mixed) variational inequality model with (nonlinear) convex conic constraints. Through developing an equivalent Lagrangian function-like p…

math.OC2023

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity

Xiao Li, Lei Zhao, Daoli Zhu +1

The subgradient method is one of the most fundamental algorithmic schemes for nonsmooth optimization. The existing complexity and convergence results for this method are mainly der…

math.OC20202 cited

Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming

Daoli Zhu, Lei Zhao

Linear constrained convex programming has many practical applications, including support vector machine and machine learning portfolio problems. We propose the randomized primal-du…

math.OC2020

Level-set Subdifferential Error Bounds and Linear Convergence of Variable Bregman Proximal Gradient Method

Daoli Zhu, Sien Deng, Minghua Li +1

In this work, we develop a level-set subdifferential error bound condition aiming towards convergence rate analysis of a variable Bregman proximal gradient (VBPG) method for a broa…