Yangjing Zhang

According to our database, Yangjing Zhang authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning graph Laplacian with MCP.

Yangjing Zhang, Kim-Chuan Toh, Defeng Sun

Optim. Methods Softw., 2024

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models.

Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh

J. Mach. Learn. Res., 2024

DNNLasso: Scalable Graph Learning for Matrix-Variate Data.

Meixia Lin, Yangjing Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications.

Shiwei Wang, Chao Ding, Yangjing Zhang, Xinyuan Zhao

SIAM J. Optim., December, 2023

2022

On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations.

Hong T. M. Chu, Kim-Chuan Toh, Yangjing Zhang

J. Mach. Learn. Res., 2022

2021

An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems.

Ning Zhang, Yangjing Zhang, Defeng Sun, Kim-Chuan Toh

SIAM J. Math. Data Sci., 2021

2020

A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems.

Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh

SIAM J. Optim., 2020

An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems.

Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh

Math. Program., 2020