Composite difference-max programs for modern statistical estimation problems Y Cui, JS Pang, B Sen SIAM Journal on Optimization 28 (4), 3344-3374, 2018 | 78 | 2018 |
On the convergence properties of a majorized alternating direction method of multipliers for linearly constrained convex optimization problems with coupled objective functions Y Cui, X Li, D Sun, KC Toh Journal of Optimization Theory and Applications 169, 1013-1041, 2016 | 75* | 2016 |
Modern nonconvex nondifferentiable optimization Y Cui, JS Pang Society for Industrial and Applied Mathematics, 2021 | 67 | 2021 |
On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming Y Cui, D Sun, KC Toh Mathematical Programming 178, 381-415, 2019 | 48 | 2019 |
Sparse estimation of high-dimensional correlation matrices Y Cui, C Leng, D Sun Computational Statistics & Data Analysis 93, 390-403, 2016 | 42 | 2016 |
Quadratic growth conditions for convex matrix optimization problems associated with spectral functions Y Cui, C Ding, X Zhao SIAM Journal on Optimization 27 (4), 2332-2355, 2017 | 36 | 2017 |
On the asymptotic superlinear convergence of the augmented Lagrangian method for semidefinite programming with multiple solutions Y Cui, D Sun, KC Toh arXiv preprint arXiv:1610.00875, 2016 | 36 | 2016 |
Clustering by orthogonal NMF model and non-convex penalty optimization S Wang, TH Chang, Y Cui, JS Pang IEEE Transactions on Signal Processing 69, 5273-5288, 2021 | 30 | 2021 |
Two-stage stochastic programming with linearly bi-parameterized quadratic recourse J Liu, Y Cui, JS Pang, S Sen SIAM Journal on Optimization 30 (3), 2530-2558, 2020 | 25 | 2020 |
Estimation of individualized decision rules based on an optimized covariate-dependent equivalent of random outcomes Z Qi, Y Cui, Y Liu, JS Pang SIAM Journal on Optimization 29 (3), 2337-2362, 2019 | 25* | 2019 |
Multicomposite nonconvex optimization for training deep neural networks Y Cui, Z He, JS Pang SIAM Journal on Optimization 30 (2), 1693-1723, 2020 | 21 | 2020 |
Clustering by orthogonal non-negative matrix factorization: A sequential non-convex penalty approach S Wang, TH Chang, Y Cui, JS Pang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 21 | 2019 |
A study of piecewise linear-quadratic programs Y Cui, TH Chang, M Hong, JS Pang Journal of Optimization Theory and Applications 186, 523-553, 2020 | 19 | 2020 |
Solving nonsmooth and nonconvex compound stochastic programs with applications to risk measure minimization J Liu, Y Cui, JS Pang Mathematics of Operations Research 47 (4), 3051-3083, 2022 | 17 | 2022 |
No panic in pandemic: The impact of individual choice on public health policy and vaccine priority M Bai, Y Cui, G Kong, AZ Zhang University of Connecticut School of Business Research Paper, 2021 | 13 | 2021 |
Nonconvex and nonsmooth approaches for affine chance-constrained stochastic programs Y Cui, J Liu, JS Pang Set-Valued and Variational Analysis 30 (3), 1149-1211, 2022 | 12 | 2022 |
Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix Z He, S Han, A Gómez, Y Cui, JS Pang Mathematical Programming 204 (1), 517-566, 2024 | 9 | 2024 |
Asymptotic properties of stationary solutions of coupled nonconvex nonsmooth empirical risk minimization Z Qi, Y Cui, Y Liu, JS Pang Mathematics of Operations Research 47 (3), 2034-2064, 2022 | 8 | 2022 |
Statistical analysis of stationary solutions of coupled nonconvex nonsmooth empirical risk minimization Z Qi, Y Cui, Y Liu, JS Pang arXiv preprint arXiv:1910.02488, 2019 | 7 | 2019 |
Computing the best approximation over the intersection of a polyhedral set and the doubly nonnegative cone Y Cui, D Sun, KC Toh SIAM Journal on Optimization 29 (4), 2785-2813, 2019 | 7 | 2019 |