Xudong Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Highly Efficient

Augmented Lagrangian

Convex Optimization

Convex Quadratic

Top Venues

Math. Oper. Res.

J. Optim. Theory Appl.

Publications

Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. Oper. Res. 72 (1) (2024)
Yuetian Luo, Xudong Li, Anru R. Zhang
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. 49 (2) (2024)
Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems. ACM Trans. Math. Softw. 48 (3) (2022)
Rujun Jiang, Xudong Li
Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem. Math. Oper. Res. 47 (4) (2022)
Liang Chen, Xudong Li, Defeng Sun, Kim-Chuan Toh
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming. Math. Program. 185 (1-2) (2021)
Xudong Li, Defeng Sun, Kim-Chuan Toh
On the efficient computation of a generalized Jacobian of the projector over the Birkhoff polytope. Math. Program. 179 (1) (2020)
Xudong Li, Defeng Sun, Kim-Chuan Toh
An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming. SIAM J. Optim. 30 (3) (2020)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications. Math. Program. 175 (1-2) (2019)
Xudong Li, Defeng Sun, Kim-Chuan Toh
QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming. Math. Program. Comput. 10 (4) (2018)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems. SIAM J. Optim. 28 (1) (2018)
Xudong Li, Defeng Sun, Kim-Chuan Toh
On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems. SIAM J. Optim. 28 (2) (2018)
Ying Cui, Xudong Li, Defeng Sun, Kim-Chuan Toh
On the Convergence Properties of a Majorized Alternating Direction Method of Multipliers for Linearly Constrained Convex Optimization Problems with Coupled Objective Functions. J. Optim. Theory Appl. 169 (3) (2016)
Xudong Li, Defeng Sun, Kim-Chuan Toh
A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions. Math. Program. 155 (1-2) (2016)