3 papers
stat.ME2025
Robust Variational Bayes by Min-Max Median Aggregation
Jiawei Yan, Ju Liu, Weidong Liu +1
We propose a robust and scalable variational Bayes (VB) framework designed to effectively handle contamination and outliers in dataset. Our approach partitions the data into di…
stat.ML2025
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…
cs.CR2024
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…