research
∙
04/07/2023
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
Nonsmooth composite optimization with orthogonality constraints has a br...
share
research
∙
01/30/2022
Coordinate Descent Methods for Fractional Minimization
We consider a class of structured fractional minimization problems, in w...
research
∙
09/09/2021
Coordinate Descent Methods for DC Minimization
Difference-of-Convex (DC) minimization, referring to the problem of mini...
research
∙
05/27/2019
A Block Decomposition Algorithm for Sparse Optimization
Sparse optimization is a central problem in machine learning and compute...
research
∙
06/07/2018
A Generalized Matrix Splitting Algorithm
Composite function minimization captures a wide spectrum of applications...
research
∙
02/27/2018
L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration
Total Variation (TV) is an effective and popular prior model in the fiel...
research
∙
02/27/2018
ℓ_0TV: A Sparse Optimization Method for Impulse Noise Image Restoration
Total Variation (TV) is an effective and popular prior model in the fiel...
research
∙
02/26/2018
A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem
Sparse generalized eigenvalue problem arises in a number of standard and...
research
∙
11/19/2017
A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection
Sparse inverse covariance selection is a fundamental problem for analyzi...
research
∙
02/13/2016