Haolei Weng
Haolei Weng
Assistant Professor, Department of Statistics and Probability, Michigan State University
Zweryfikowany adres z msu.edu - Strona główna
Cytowane przez
Cytowane przez
Does -minimization outperform -minimization?
L Zheng, A Maleki, H Weng, X Wang, T Long
IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017
Which bridge estimator is the best for variable selection?
S Wang, H Weng, A Maleki
Annals of Statistics 48, 2791-2823, 2020
Community detection with nodal information: likelihood and its variational approximation
H Weng, Y Feng
Stat, 2021
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
Does SLOPE outperform bridge regression?
S Wang, H Weng, A Maleki
Information and Inference: A Journal of the IMA, 2021
Regularization after retention in ultrahigh dimensional linear regression models
H Weng, Y Feng, X Qiao
Statistica Sinica 29, 387-407, 2019
Spectral clustering via adaptive layer aggregation for multi-layer networks
S Huang, H Weng, Y Feng
Journal of Computational and Graphical Statistics, 2022
Matrix completion with nonconvex regularization: spectral operators and scalable algorithms
R Mazumder, DF Saldana, H Weng
Statistics and Computing 30, 1113--1138, 2020
Optimal estimation of functionals of high-dimensional mean and covariance matrix
J Fan, H Weng, Y Zhou
arXiv preprint arXiv:1908.07460, 2019
Computing the degrees of freedom of rank-regularized estimators and cousins
R Mazumder, H Weng
Electronic Journal of Statistics 14 (1), 1348-1385, 2020
Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
Y Tian, H Weng, Y Feng
arXiv:2209.15224, 2022
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
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
Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education
Y Chen, M von Davier, H Weng, Z Xie
arXiv:2208.07959, 2022
Discussion of “Cocitation and Coauthorship Networks of Statisticians”
H Weng, Y Feng
Journal of Business & Economic Statistics 40 (2), 2022
Supplement to “Overcoming the limitations of phase transition by higher order analysis of regularization techniques.”
H Weng, A Maleki, L Zheng
DOI, 2018
A unified view of high-dimensional bridge regression
H Weng
Columbia University, 2017
Post-Selection Inference for the Cox Model with Interval-Censored Data
J Zhang, C Li, H Weng
arXiv:2306.13870, 2023
Signal-to-noise ratio aware minimaxity and higher-order asymptotics
Y Guo, H Weng, A Maleki
arXiv:2211.05954, 2022
On the estimation of correlation in a binary sequence model
H Weng, Y Feng
Journal of Statistical Planning and Inference 207, 123-137, 2020
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