4 citations · 11 across the 13 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
math.OC2020★ 2 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…
math.OC2020
A First-Order Primal-Dual Method for Nonconvex Constrained Optimization Based On the Augmented Lagrangian
Daoli Zhu, Lei Zhao, Shuzhong Zhang
Nonlinearly constrained nonconvex and nonsmooth optimization models play an increasingly important role in machine learning, statistics and data analytics. In this paper, based on…