9 citations · 16 across the 5 of their papers we have counts for
5 papers
A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
Qihao Ma, Chengjing Wang, Peipei Tang +2
This paper proposes a novel distributed semismooth Newton based augmented Lagrangian method for solving a class of optimization problems over networks, where the global objective i…
Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large
Xiao Ding, Enbin Song, Dunbiao Niu +2
This paper primarily considers the robust estimation problem under Wasserstein distance constraints on the parameter and noise distributions in the linear measurement model with ad…
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines
Dunbiao Niu, Chengjing Wang, Peipei Tang +2
Support vector machines (SVMs) are successful modeling and prediction tools with a variety of applications. Previous work has demonstrated the superiority of the SVMs in dealing wi…
A Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration
Qingsong Wang, Chengjing Wang, Peipei Tang +1
In this paper, we develop a dual alternating direction method of multipliers (ADMM) for an image decomposition model. In this model, an image is divided into two meaningful compone…
Percolation of networks with directed dependency links
Dunbiao Niu, Xin Yuan, Minhui Du +2
The self-consistent probabilistic approach has proven itself powerful in studying the percolation behavior of interdependent or multiplex networks without tracking the percolation…