Research

2025

1. SJS

   Post-Selection Inference for the Cox Model with Interval-Censored Data

   Jianrui Zhang, Chenxi Li, and Haolei Weng

   Scandinavian Journal of Statistics, 2025

   arXiv Bib

   @article{zhang2023postselection,
     title = {Post-Selection Inference for the Cox Model with Interval-Censored Data},
     author = {Zhang, Jianrui and Li, Chenxi and Weng, Haolei},
     journal = {Scandinavian Journal of Statistics},
     year = {2025},
     eprint = {2306.13870},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

2. Preprint

   Signal-to-noise ratio aware minimax analysis of sparse linear regression

   Shubhangi Ghosh, Yilin Guo, Haolei Weng, and Arian Maleki

   2025

   arXiv Bib

   @misc{ghosh2025snrminimaxlr,
     title = {Signal-to-noise ratio aware minimax analysis of sparse linear regression},
     author = {Ghosh, Shubhangi and Guo, Yilin and Weng, Haolei and Maleki, Arian},
     year = {2025},
     eprint = {2501.13323},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

2024

1. ICML

   Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms

   Ye Tian, Haolei Weng, and Yang Feng

   International Conference on Machine Learning, 2024

   arXiv Bib

   @article{tian2024unsupervised,
     title = {Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms},
     author = {Tian, Ye and Weng, Haolei and Feng, Yang},
     journal = {International Conference on Machine Learning},
     year = {2024},
     eprint = {2310.15330},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
   }

2. Preprint

   Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data

   Daewoo Pak, Jianrui Zhang, Di Wu, Haolei Weng, and Chenxi Li

   2024

   arXiv Bib

   @misc{pak2024varibleselect,
     title = {Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data},
     author = {Pak, Daewoo and Zhang, Jianrui and Wu, Di and Weng, Haolei and Li, Chenxi},
     year = {2024},
     eprint = {2405.01275},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

3. Preprint

   A note on the minimax risk of sparse linear regression

   Yilin Guo, Shubhangi Ghosh, Haolei Weng, and Arian Maleki

   2024

   arXiv Bib

   @misc{guo2024minimaxlr,
     title = {A note on the minimax risk of sparse linear regression},
     author = {Guo, Yilin and Ghosh, Shubhangi and Weng, Haolei and Maleki, Arian},
     year = {2024},
     eprint = {2405.05344},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

4. Preprint

   Robust penalized least squares of depth trimmed regression

   Yijun Zuo, Pingshou Zhong, and Haolei Weng

   2024

   HTML
5. Preprint

   High-dimensional partial linear model with trend filtering

   Sang Kyu Lee, Hyokyoung G. Hong, Haolei Weng, and Erikka Loftfield

   2024

   arXiv Bib

   @misc{lee2024highdpltf,
     title = {High-dimensional partial linear model with trend filtering},
     author = {Lee, Sang Kyu and Hong, Hyokyoung G. and Weng, Haolei and Loftfield, Erikka},
     year = {2024},
     eprint = {2410.20319},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

6. Preprint

   Sharp Bounds for Multiple Models in Matrix Completion

   Dali Liu, and Haolei Weng

   2024

   arXiv Bib

   @misc{liu2024sbmc,
     title = {Sharp Bounds for Multiple Models in Matrix Completion},
     author = {Liu, Dali and Weng, Haolei},
     year = {2024},
     eprint = {2411.13199},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

2023

1. JCGS

   Spectral clustering via adaptive layer aggregation for multi-layer networks

   Sihan Huang, Haolei Weng, and Yang Feng

   Journal of Computational and Graphical Statistics, 2023

   arXiv Bib HTML

   @article{huang2023spectral,
     title = {Spectral clustering via adaptive layer aggregation for multi-layer networks},
     author = {Huang, Sihan and Weng, Haolei and Feng, Yang},
     journal = {Journal of Computational and Graphical Statistics},
     volume = {32},
     number = {3},
     pages = {1170--1184},
     year = {2023},
     publisher = {Taylor \& Francis},
   }

2. JRSSA

   Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education

   Zilong Xie, Yunxiao Chen, Matthias von Davier, and Haolei Weng

   Journal of the Royal Statistical Society: Series A, 2023

   arXiv Bib HTML

   @article{xie2023variable,
     title = {Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education},
     author = {Xie, Zilong and Chen, Yunxiao and {von Davier}, Matthias and Weng, Haolei},
     journal = {Journal of the Royal Statistical Society: Series A},
     year = {2023},
     eprint = {2208.07959},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME},
   }

3. IEEE Trans. Inf.

   Signal-to-noise ratio aware minimaxity and higher-order asymptotics

   Yilin Guo, Haolei Weng, and Arian Maleki

   IEEE Transactions on Information Theory, 2023

   arXiv Bib

   @article{guo2022signaltonoise,
     title = {Signal-to-noise ratio aware minimaxity and higher-order asymptotics},
     author = {Guo, Yilin and Weng, Haolei and Maleki, Arian},
     journal = {IEEE Transactions on Information Theory},
     year = {2023},
     eprint = {2211.05954},
     archiveprefix = {arXiv},
     primaryclass = {math.ST},
   }

2022

1. Inf. Inference

   Does SLOPE outperform bridge regression?

   Shuaiwen Wang, Haolei Weng, and Arian Maleki

   Information and Inference: A Journal of the IMA, 2022

   arXiv Bib HTML

   @article{wang2022does,
     title = {Does SLOPE outperform bridge regression?},
     author = {Wang, Shuaiwen and Weng, Haolei and Maleki, Arian},
     journal = {Information and Inference: A Journal of the IMA},
     volume = {11},
     number = {1},
     pages = {1--54},
     year = {2022},
     publisher = {Oxford University Press},
   }

2. Stat

   Community detection with nodal information: Likelihood and its variational approximation

   Haolei Weng, and Yang Feng

   Stat, 2022

   Bib HTML

   @article{weng2022community,
     title = {Community detection with nodal information: Likelihood and its variational approximation},
     author = {Weng, Haolei and Feng, Yang},
     journal = {Stat},
     volume = {11},
     number = {1},
     pages = {e428},
     year = {2022},
     publisher = {Wiley Online Library},
   }

3. JBES

   Discussion of “Cocitation and Coauthorship Networks of Statisticians”

   Haolei Weng, and Yang Feng

   Journal of Business & Economic Statistics, 2022

   Bib HTML

   @article{weng2022discuss,
     title = {Discussion of “Cocitation and Coauthorship Networks of Statisticians”},
     author = {Weng, Haolei and Feng, Yang},
     journal = {Journal of Business \& Economic Statistics},
     volume = {40},
     number = {2},
     pages = {486--490},
     year = {2022},
     publisher = {Wiley Online Library},
   }

4. Preprint

   Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models

   Ye Tian, Haolei Weng, and Yang Feng

   2022

   arXiv Bib

   @misc{tian2022unsupervised,
     title = {Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models},
     author = {Tian, Ye and Weng, Haolei and Feng, Yang},
     year = {2022},
     eprint = {2209.15224},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
   }

2021

1. Preprint

   Optimal estimation of functionals of high-dimensional mean and covariance matrix

   Jianqing Fan, Haolei Weng, and Yifeng Zhou

   2021

   arXiv Bib

   @misc{fan2021optimal,
     title = {Optimal estimation of functionals of high-dimensional mean and covariance matrix},
     author = {Fan, Jianqing and Weng, Haolei and Zhou, Yifeng},
     year = {2021},
     eprint = {1908.07460},
     archiveprefix = {arXiv},
     primaryclass = {math.ST},
   }

2020

1. Inf. Inference

   Low noise sensitivity analysis of ℓq-minimization in oversampled systems

   Haolei Weng, and Arian Maleki

   Information and Inference: A Journal of the IMA, 2020

   Bib HTML

   @article{weng2020low,
     title = {Low noise sensitivity analysis of ℓq-minimization in oversampled systems},
     author = {Weng, Haolei and Maleki, Arian},
     journal = {Information and Inference: A Journal of the IMA},
     volume = {9},
     number = {1},
     pages = {113--155},
     year = {2020},
     publisher = {Oxford University Press},
   }

2. JSPI

   On the estimation of correlation in a binary sequence model

   Haolei Weng, and Yang Feng

   Journal of Statistical Planning and Inference, 2020

   Bib HTML

   @article{weng2020estimation,
     title = {On the estimation of correlation in a binary sequence model},
     author = {Weng, Haolei and Feng, Yang},
     journal = {Journal of Statistical Planning and Inference},
     volume = {207},
     pages = {123--137},
     year = {2020},
     publisher = {Elsevier},
   }

3. EJS

   Computing the degrees of freedom of rank-regularized estimators and cousins

   Rahul Mazumder, and Haolei Weng

   Electronic Journal of Statistics, 2020

   Bib HTML

   @article{mazumder2020computing,
     title = {Computing the degrees of freedom of rank-regularized estimators and cousins},
     author = {Mazumder, Rahul and Weng, Haolei},
     journal = {Electronic Journal of Statistics},
     volume = {14},
     pages = {1348--1385},
     year = {2020},
   }

4. Stat. Comput.

   Matrix completion with nonconvex regularization: spectral operators and scalable algorithms

   Rahul Mazumder, Diego Saldana, and Haolei Weng

   Statistics and Computing, 2020

   Bib HTML

   @article{mazumder2020matrix,
     title = {Matrix completion with nonconvex regularization: spectral operators and scalable algorithms},
     author = {Mazumder, Rahul and Saldana, Diego and Weng, Haolei},
     journal = {Statistics and Computing},
     volume = {30},
     number = {4},
     pages = {1113--1138},
     year = {2020},
     publisher = {Springer},
   }

5. Ann. Stat.

   Which bridge estimator is the best for variable selection?

   Shuaiwen Wang, Haolei Weng, and Arian Maleki

   The Annals of Statistics, 2020

   Bib HTML

   @article{wang2020bridge,
     title = {Which bridge estimator is the best for variable selection?},
     author = {Wang, Shuaiwen and Weng, Haolei and Maleki, Arian},
     journal = {The Annals of Statistics},
     volume = {48},
     number = {5},
     pages = {2791--2823},
     year = {2020},
     publisher = {Institute of Mathematical Statistics},
   }

2019

1. Stat. Sin.

   Regularization after retention in ultrahigh dimensional linear regression models

   Haolei Weng, Yang Feng, and Xingye Qiao

   Statistica Sinica, 2019

   Bib HTML

   @article{weng2019regularization,
     title = {Regularization after retention in ultrahigh dimensional linear regression models},
     author = {Weng, Haolei and Feng, Yang and Qiao, Xingye},
     journal = {Statistica Sinica},
     volume = {29},
     number = {1},
     pages = {387--407},
     year = {2019},
     publisher = {JSTOR},
   }

2018

1. Ann. Stat.

   Overcoming the limitations of phase transition by higher order analysis of regularization techniques

   Haolei Weng, Arian Maleki, and Le Zheng

   The Annals of Statistics, 2018

   Bib HTML

   @article{weng2018overcoming,
     title = {Overcoming the limitations of phase transition by higher order analysis of regularization techniques},
     author = {Weng, Haolei and Maleki, Arian and Zheng, Le},
     journal = {The Annals of Statistics},
     volume = {46},
     number = {6A},
     pages = {3099--3129},
     year = {2018},
     publisher = {Institute of Mathematical Statistics},
   }

2017

1. IEEE Trans. Inf.

   Does ℓp-minimization outperform ℓ1-minimization?

   Le Zheng, Arian Maleki, Haolei Weng, Xiaodong Wang, and Teng Long

   IEEE Transactions on Information Theory, 2017

   Bib HTML

   @article{zheng2017does,
     title = {Does ℓp-minimization outperform ℓ1-minimization?},
     author = {Zheng, Le and Maleki, Arian and Weng, Haolei and Wang, Xiaodong and Long, Teng},
     journal = {IEEE Transactions on Information Theory},
     volume = {63},
     number = {11},
     pages = {6896--6935},
     year = {2017},
     publisher = {IEEE},
   }

2016

1. ISIT

   Phase transition and noise sensitivity of ℓp-minimization for 0 ≤p ≤1

   Haolei Weng, Le Zheng, Arian Maleki, and Xiaodong Wang

   In 2016 IEEE International Symposium on Information Theory (ISIT), 2016

   Bib HTML

   @inproceedings{weng2016phase,
     title = {Phase transition and noise sensitivity of ℓp-minimization for $0 \leq p \leq 1$},
     author = {Weng, Haolei and Zheng, Le and Maleki, Arian and Wang, Xiaodong},
     booktitle = {2016 IEEE International Symposium on Information Theory (ISIT)},
     pages = {675--679},
     year = {2016},
     organization = {IEEE},
   }