2 papers
math.OC2026
A Semismooth Newton-Based Proximal Augmented Lagrangian Method for Joint Estimation of Multiple Gaussian Graphical Models with Clustered Structure
Han Wang, Yue Liu, Yong-Jin Liu
In this paper, we consider a class of convex composite optimization problems arising from the joint estimation of clustered multiple Gaussian graphical models. The resulting model…
math.OC2025
Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems
Lanyu Lin, Yong-Jin Liu, Bo Wang +1
Multi-task learning enhances model generalization by jointly learning from related tasks. This paper focuses on the -norm constrained multi-task learning problem,…