دنبال کردن
Meixia LIN
Meixia LIN
Assistant Professor, Engineering Systems and Design, Singapore University of Technology and Design
ایمیل تأیید شده در u.nus.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Efficient sparse semismooth Newton methods for the clustered Lasso problem
M Lin, YJ Liu, D Sun, KC Toh
SIAM Journal on Optimization 29 (3), 2026-2052, 2019
472019
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems
M Lin, D Sun, KC Toh
Mathematical Programming Computation, 2021
25*2021
Signal analysis via the stochastic geometry of spectrogram level sets
S Ghosh, M Lin, D Sun
IEEE Transactions on Signal Processing 70, 1104-1117, 2022
112022
Adaptive sieving with PPDNA: Generating solution paths of exclusive lasso models
M Lin, Y Yuan, D Sun, KC Toh
arXiv preprint arXiv:2009.08719, 2020
11*2020
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
R Bardenet, S Ghosh, M Lin
Advances in Neural Information Processing Systems 34, 16226-16237, 2021
102021
A positive and moment-preserving Fourier spectral method
Z Cai, B Lin, M Lin
SIAM Journal on Numerical Analysis 62 (1), 273-294, 2024
62024
Adaptive sieving: A dimension reduction technique for sparse optimization problems
Y Yuan, M Lin, D Sun, KC Toh
arXiv preprint arXiv:2306.17369, 2023
52023
Estimation of sparse Gaussian graphical models with hidden clustering structure
M Lin, D Sun, KC Toh, C Wang
arXiv preprint arXiv:2004.08115, 2020
52020
A highly efficient algorithm for solving exclusive lasso problems
M Lin, Y Yuan, D Sun, KC Toh
Optimization Methods and Software 39 (3), 489-518, 2024
22024
Wasserstein distributionally robust optimization and its tractable regularization formulations
H Chu, M Lin, KC Toh
arXiv preprint arXiv:2402.03942, 2024
22024
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm
C Wang, P Tang, W He, M Lin
arXiv preprint arXiv:2308.08852, 2023
12023
Low Rank Convex Clustering For Matrix-Valued Observations
M Lin, Y Zhang
arXiv preprint arXiv:2412.17328, 2024
2024
Multiple regression for matrix and vector predictors: Models, theory, algorithms, and beyond
M Lin, Z Zeng, Y Zhang
Electronic Journal of Statistics 18 (2), 5563-5600, 2024
2024
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure
M Lin, D Sun, KC Toh, C Wang
Journal of Machine Learning Research 25 (256), 1-36, 2024
2024
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–14