Does -minimization outperform -minimization? L Zheng, A Maleki, H Weng, X Wang, T Long
IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017
113 2017 Which bridge estimator is the best for variable selection? S Wang, H Weng, A Maleki
Annals of Statistics 48, 2791-2823, 2020
54 * 2020 Community detection with nodal information: likelihood and its variational approximation H Weng, Y Feng
Stat 11 (1), e428, 2022
44 * 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
35 2018 Does SLOPE outperform bridge regression? S Wang, H Weng, A Maleki
Information and Inference: A Journal of the IMA 11 (1), 1-54, 2022
25 2022 Regularization after retention in ultrahigh dimensional linear regression models H Weng, Y Feng, X Qiao
Statistica Sinica 29, 387-407, 2019
19 * 2019 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
18 2023 Matrix completion with nonconvex regularization: spectral operators and scalable algorithms R Mazumder, DF Saldana, H Weng
Statistics and Computing 30, 1113--1138, 2020
12 2020 Optimal estimation of functionals of high-dimensional mean and covariance matrix J Fan, H Weng, Y Zhou
arXiv preprint arXiv:1908.07460, 2019
9 2019 Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models Y Tian, H Weng, Y Feng
arXiv:2209.15224, 2022
7 2022 Signal-to-noise ratio aware minimaxity and higher-order asymptotics Y Guo, H Weng, A Maleki
IEEE Transactions on Information Theory, 2023
4 2023 Computing the degrees of freedom of rank-regularized estimators and cousins R Mazumder, H Weng
Electronic Journal of Statistics 14 (1), 1348-1385, 2020
4 2020 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
3 2020 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
3 2016 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 …, 2023
1 * 2023 Discussion of “Cocitation and Coauthorship Networks of Statisticians” H Weng, Y Feng
Journal of Business & Economic Statistics 40 (2), 2022
1 2022 Supplement to “Overcoming the limitations of phase transition by higher order analysis of regularization techniques.” H Weng, A Maleki, L Zheng
DOI, 2018
1 2018 Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks Y Tian, H Weng, Y Feng
arXiv:2310.15330, 2023
2023 Post-Selection Inference for the Cox Model with Interval-Censored Data J Zhang, C Li, H Weng
arXiv:2306.13870, 2023
2023 On the estimation of correlation in a binary sequence model H Weng, Y Feng
Journal of Statistical Planning and Inference 207, 123-137, 2020
2020