activity
20212023
most citedA new Barzilai-Borwein steplength from the viewpoint of total least squares

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2023

Solving separable convex optimization problems: Faster prediction-correction framework

Tao Zhang, Yong Xia, Shiru Li

He and Yuan's prediction-correction framework [SIAM J. Numer. Anal. 50: 700-709, 2012] is able to provide convergent algorithms for solving separable convex optimization problems a…

math.OC2022★ 1 cited

A family of Barzilai-Borwein steplengths from the viewpoint of scaled total least squares

Shiru Li, Tao Zhang, Yong Xia

The Barzilai-Borwein (BB) steplengths play great roles in practical gradient methods for solving unconstrained optimization problems. Motivated by the observation that the two well…

math.OC2022

On globally solving nonconvex trust region subproblem via projected gradient method

Mengmeng Song, Yong Xia, Jinyang Zheng

The trust region subproblem (TRS) is to minimize a possibly nonconvex quadratic function over a Euclidean ball. There are typically two cases for (TRS), the so-called ``easy case''…

math.OC2022

Comment on "First-order methods almost always avoid strict saddle points"

Jinyang Zheng, Yong Xia

The analysis on the global stability of Riemannian gradient descent method in manifold optimization (i.e., it avoids strict saddle points for almost all initializations) due to Lee…

math.OC2022

Alternating direction method of multipliers for convex programming: a lift-and-permute scheme

Shiru Li, Yong Xia, Tao Zhang

A lift-and-permute scheme of alternating direction method of multipliers (ADMM) is proposed for linearly constrained convex programming. It contains not only the newly developed ba…

math.OC2022

Simultaneous perturbation stochastic approximation: towards one-measurement per iteration

Shiru Li, Yong Xia, Zi Xu

When measuring the value of a function to be minimized is not only expensive but also with noise, the popular simultaneous perturbation stochastic approximation (SPSA) algorithm re…

math.OC2021★ 1 cited

A new Barzilai-Borwein steplength from the viewpoint of total least squares

Shiru Li, Yong Xia

Barzilai-Borwein (BB) steplength is a popular choice in gradient descent method. By observing that the two existing BB steplengths correspond to the ordinary and the data least squ…