2 citations · 3 across the 5 of their papers we have counts for
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Linear convergence of random dual coordinate incremental aggregated gradient methods
Hui Zhang, Yu-Hong Dai, Lei Guo
In this paper, we consider the dual formulation of minimizing with the index sets and being large. To address the…
Inertial Bregman Proximal Gradient Algorithm For Nonconvex Problem with Smooth Adaptable Property
Xiaoya Zhang, Hui Zhang, Wei Peng
In this paper we study the problems of minimizing the sum of two nonconvex functions: one is differentiable and satisfies smooth adaptable property. The smooth adaptable property,…
A New Exact Worst-Case Linear Convergence Rate of the Proximal Gradient Method
Xiaoya Zhang, Hui Zhang
In this note, we establish a new exact worst-case linear convergence rate of the proximal gradient method in terms of the proximal gradient norm, which complements the recent resul…
Global Complexity Analysis of Inexact Successive Quadratic Approximation methods for Regularized Optimization under Mild Assumptions
Wei Peng, Hui Zhang, Xiaoya Zhang
Successive quadratic approximations (SQA) are numerically efficient for minimizing the sum of a smooth function and a convex function. The iteration complexity of inexact SQA metho…
Nonconvex Proximal Incremental Aggregated Gradient Method with Linear Convergence
Wei Peng, Hui Zhang, Xiaoya Zhang
In this paper, we study the proximal incremental aggregated gradient(PIAG) algorithm for minimizing the sum of L-smooth nonconvex component functions and a proper closed convex fun…
Inertial Proximal Incremental Aggregated Gradient Method
Xiaoya Zhang, Wei Peng, Hui Zhang +1
In this paper, we introduce an inertial version of the Proximal Incremental Aggregated Gradient method (PIAG) for minimizing the sum of smooth convex component functions and a poss…