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08/17/2023
An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal
The stripe noise existing in remote sensing images badly degrades the vi...
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08/17/2023
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm
Graphical models have exhibited their performance in numerous tasks rang...
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11/02/2022
An efficient algorithm for the ℓ_p norm based metric nearness problem
Given a dissimilarity matrix, the metric nearness problem is to find the...
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11/27/2021
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems
Square-root Lasso problems are proven robust regression problems. Furthe...
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06/25/2021
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems
In this paper, we introduce a proximal-proximal majorization-minimizatio...
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04/17/2020
Estimation of sparse Gaussian graphical models with hidden clustering structure
Estimation of Gaussian graphical models is important in natural science ...
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10/03/2019
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines
Support vector machines (SVMs) are successful modeling and prediction to...
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03/27/2019
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
In this paper, we consider high-dimensional nonconvex square-root-loss r...
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02/25/2019