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stat.ML2024★ 4 cited
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
Weidong Liu, Xiaojun Mao, Xiaofei Zhang +1
In recent years, privacy-preserving machine learning algorithms have attracted increasing attention because of their important applications in many scientific fields. However, in t…
stat.ML2023
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Weidong Liu, Jiyuan Tu, Xi Chen +1
Reinforcement learning has emerged as one of the prominent topics attracting attention in modern statistical learning, with policy evaluation being a key component. Unlike the trad…
stat.ML2023
Distributed Semi-Supervised Sparse Statistical Inference
Jiyuan Tu, Weidong Liu, Xiaojun Mao +1
The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimens…