166 citations · 585 across the 26 of their papers we have counts for
26 papers
A review of distributed statistical inference
Yuan Gao, Weidong Liu, Hansheng Wang +3
The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to deve…
Distributed Estimation and Inference for Semi-parametric Binary Response Models
Xi Chen, Wenbo Jing, Weidong Liu +1
The development of modern technology has enabled data collection of unprecedented size, which poses new challenges to many statistical estimation and inference problems. This paper…
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach
Weidong Liu, Xiaojun Mao, Xin Zhang
Decentralized sparsity learning has attracted a significant amount of attention recently due to its rapidly growing applications. To obtain the robust and sparse estimators, a natu…
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
Zeyu Wu, Cheng Wang, Weidong Liu
In this paper, we estimate the high dimensional precision matrix under the weak sparsity condition where many entries are nearly zero. We revisit the sparse column-wise inverse ope…
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
Jiyuan Tu, Weidong Liu, Xiaojun Mao +1
This paper develops an efficient distributed inference algorithm, which is robust against a moderate fraction of Byzantine nodes, namely arbitrary and possibly adversarial machines…
Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
In this paper, we consider matrix completion with absolute deviation loss and obtain an estimator of the median matrix. Despite several appealing properties of median, the non-smoo…