Xudong Li

23 papers A* 3Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Driven Minimax Optimization with Expectation Constraints.
Oper. Res.
Shuoguang Yang, Xudong Li, Guanghui Lan
2025 J jnl
Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-Rank Matrix Optimization.
INFORMS J. Optim.
Yuetian Luo, Xudong Li, Anru R. Zhang
2024 J jnl
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization.
Math. Oper. Res.
Yuetian Luo, Xudong Li, Anru R. Zhang
2024 J jnl
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence.
Oper. Res.
Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang
2022 J jnl
Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem.
Math. Oper. Res.
Rujun Jiang, Xudong Li
2022 J jnl
Learning Markov Models Via Low-Rank Optimization.
Oper. Res.
Ziwei Zhu, Xudong Li, Mengdi Wang, Anru Zhang
2022 J jnl
QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems.
ACM Trans. Math. Softw.
Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
2022 A* conf
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation.
ICML
Jiali Wang, Wen Huang, Rujun Jiang, Xudong Li, Alex L. Wang
2021 A* conf
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss.
ICML
Jiali Wang, He Chen, Rujun Jiang, Xudong Li, Zihao Li
2021 J jnl
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization.
CoRR
Yuetian Luo, Xudong Li, Anru R. Zhang
2021 J jnl
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization.
CoRR
Yuetian Luo, Xudong Li, Anru R. Zhang
2021 J jnl
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming.
Math. Program.
Liang Chen, Xudong Li, Defeng Sun, Kim-Chuan Toh
2020 J jnl
An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming.
SIAM J. Optim.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2020 J jnl
On the efficient computation of a generalized Jacobian of the projector over the Birkhoff polytope.
Math. Program.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2020 J jnl
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence.
CoRR
Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
2019 J jnl
A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications.
Math. Program.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2018 J jnl
A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems.
SIAM J. Optim.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2018 A* conf
Estimation of Markov Chain via Rank-constrained Likelihood.
ICML
Xudong Li, Mengdi Wang, Anru Zhang
2018 J jnl
Estimation of Markov Chain via Rank-constrained Likelihood.
CoRR
Xudong Li, Mengdi Wang, Anru Zhang
2018 J jnl
On Efficiently Solving the Subproblems of a Level-Set Method for Fused Lasso Problems.
SIAM J. Optim.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2018 J jnl
QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming.
Math. Program. Comput.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2016 J jnl
A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions.
Math. Program.
Xudong Li, Defeng Sun, Kim-Chuan Toh
2016 J jnl
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.
Ying Cui, Xudong Li, Defeng Sun, Kim-Chuan Toh