32 citations · 84 across the 19 of their papers we have counts for
5 papers · 1 filter
Nonparametric augmented probability weighting with sparsity
Xin He, Xiaojun Mao, Zhonglei Wang
Nonresponse frequently arises in practice, and simply ignoring it may lead to erroneous inference. Besides, the number of collected covariates may increase as the sample size in mo…
Majority Vote for Distributed Differentially Private Sign Selection
Weidong Liu, Jiyuan Tu, Xiaojun Mao +1
Privacy-preserving data analysis has become more prevalent in recent years. In this study, we propose a distributed group differentially private Majority Vote mechanism, for the si…
Functional Calibration under Non-Probability Survey Sampling
Zhonglei Wang, Xiaojun Mao, Jae Kwang Kim
Non-probability sampling is prevailing in survey sampling, but ignoring its selection bias leads to erroneous inferences. We offer a unified nonparametric calibration method to est…
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…
Nonparametric Feature Selection by Random Forests and Deep Neural Networks
Xiaojun Mao, Liuhua Peng, Zhonglei Wang
Random forests are a widely used machine learning algorithm, but their computational efficiency is undermined when applied to large-scale datasets with numerous instances and usele…