109 citations · 565 across the 64 of their papers we have counts for
4 papers · 2 filters
On the Asymptotic Superlinear Convergence of the Augmented Lagrangian Method for Semidefinite Programming with Multiple Solutions
Ying Cui, Defeng Sun, Kim-Chuan Toh
Solving large scale convex semidefinite programming (SDP) problems has long been a challenging task numerically. Fortunately, several powerful solvers including SDPNAL, SDPNAL+ and…
A highly efficient semismooth Newton augmented Lagrangian method for solving Lasso problems
Xudong Li, Defeng Sun, Kim-Chuan Toh
We develop a fast and robust algorithm for solving large scale convex composite optimization models with an emphasis on the -regularized least squares regression (Lasso) pr…
Fast algorithms for large scale generalized distance weighted discrimination
Xin Yee Lam, J. S. Marron, Defeng Sun +1
High dimension low sample size statistical analysis is important in a wide range of applications. In such situations, the highly appealing discrimination method, support vector mac…
Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems
Chao Ding, Defeng Sun, Liwei Zhang
This paper is devoted to studying the robust isolated calmness of the Karush-Kuhn-Tucker (KKT) solution mapping for a large class of interesting conic programming problems (includi…