| An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems Y Zhang, N Zhang, D Sun, KC Toh Mathematical Programming 179 (1), 223–263, 2020 | 80 | 2020 |
| A proximal point dual newton algorithm for solving group graphical lasso problems Y Zhang, N Zhang, D Sun, KC Toh SIAM Journal on Optimization 30 (3), 2197-2220, 2020 | 16 | 2020 |
| Strong variational sufficiency for nonlinear semidefinite programming and its implications S Wang, C Ding, Y Zhang, X Zhao SIAM Journal on Optimization 33 (4), 2988-3011, 2023 | 9 | 2023 |
| Learning graph Laplacian with MCP Y Zhang, KC Toh, D Sun Optimization Methods and Software, 1-32, 2023 | 8 | 2023 |
| An efficient linearly convergent regularized proximal point algorithm for fused multiple graphical lasso problems N Zhang, Y Zhang, D Sun, KC Toh SIAM Journal on Mathematics of Data Science 3 (2), 524-543, 2021 | 7 | 2021 |
| On efficient and scalable computation of the nonparametric maximum likelihood estimator in mixture models Y Zhang, Y Cui, B Sen, KC Toh Journal of Machine Learning Research 25 (8), 1-46, 2024 | 6 | 2024 |
| On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations H Chu, KC Toh, Y Zhang Journal of Machine Learning Research 23 (308), 1--39, 2022 | 5 | 2022 |
Kim-Chuan TohProfessor of Mathematics, National University of SingaporeVerified email at nus.edu.sg
