Følg
Haolei Weng
Haolei Weng
Associate Professor, Department of Statistics and Probability, Michigan State University
Verifisert e-postadresse på msu.edu - Startside
Tittel
Sitert av
Sitert av
År
Does -minimization outperform -minimization?
L Zheng, A Maleki, H Weng, X Wang, T Long
IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017
1162017
Which bridge estimator is the best for variable selection?
S Wang, H Weng, A Maleki
Annals of Statistics 48, 2791-2823, 2020
60*2020
Community detection with nodal information: likelihood and its variational approximation
H Weng, Y Feng
Stat 11 (1), e428, 2022
48*2022
Overcoming the limitations of phase transition by higher order analysis of regularization techniques
H Weng, A Maleki, L Zheng
Annals of Statistics 46 (6A), 3099-3129, 2018
372018
Does SLOPE outperform bridge regression?
S Wang, H Weng, A Maleki
Information and Inference: A Journal of the IMA 11 (1), 1-54, 2022
272022
Spectral clustering via adaptive layer aggregation for multi-layer networks
S Huang, H Weng, Y Feng
Journal of Computational and Graphical Statistics 32 (3), 1170-1184, 2023
252023
Regularization after retention in ultrahigh dimensional linear regression models
H Weng, Y Feng, X Qiao
Statistica Sinica 29, 387-407, 2019
19*2019
Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
Y Tian, H Weng, Y Feng
arXiv:2209.15224, 2022
132022
Matrix completion with nonconvex regularization: spectral operators and scalable algorithms
R Mazumder, DF Saldana, H Weng
Statistics and Computing 30, 1113--1138, 2020
122020
Optimal estimation of functionals of high-dimensional mean and covariance matrix
J Fan, H Weng, Y Zhou
arXiv preprint arXiv:1908.07460, 2019
92019
Signal-to-noise ratio aware minimaxity and higher-order asymptotics
Y Guo, H Weng, A Maleki
IEEE Transactions on Information Theory, 2023
62023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Y Tian, H Weng, Y Feng
International Conference on Machine Learning, 2024
5*2024
Computing the degrees of freedom of rank-regularized estimators and cousins
R Mazumder, H Weng
Electronic Journal of Statistics 14 (1), 1348-1385, 2020
42020
Phase transition and noise sensitivity of ℓp-minimization for 0 ≤ p ≤ 1
H Weng, L Zheng, A Maleki, X Wang
2016 IEEE International Symposium on Information Theory (ISIT), 675-679, 2016
42016
Low noise sensitivity analysis of -minimization in oversampled systems
H Weng, A Maleki
Information and Inference: A Journal of the IMA 9 (1), 113–155, 2020
32020
Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education
Z Xie, Y Chen, M von Davier, H Weng
Journal of the Royal Statistical Society Series A: Statistics in Society 187 …, 2024
1*2024
Discussion of “Cocitation and Coauthorship Networks of Statisticians”
H Weng, Y Feng
Journal of Business & Economic Statistics 40 (2), 2022
12022
Supplement to “Overcoming the limitations of phase transition by higher order analysis of regularization techniques.”
H Weng, A Maleki, L Zheng
DOI, 2018
12018
Optimal Rates for Multiple Models in Matrix Completion
D Liu, H Weng
arXiv preprint arXiv:2411.13199, 2024
2024
High-dimensional partial linear model with trend filtering
SK Lee, HG Hong, H Weng, E Loftfield
arXiv preprint arXiv:2410.20319, 2024
2024
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20