3 papers
stat.ML2025
Structure Maintained Representation Learning Neural Network for Causal Inference
Yang Sun, Wenbin Lu, Yi-Hui Zhou
Recent developments in causal inference have greatly shifted the interest from estimating the average treatment effect to the individual treatment effect. In this article, we impro…
stat.ME2017
Set-based differential covariance testing for high-throughput data
Yi-Hui Zhou
The problem of detecting changes in covariance for a single pair of features has been studied in some detail, but may be limited in importance or general applicability. In contrast…
stat.ME2016
A robust covariance testing approach for high-throughput data
Yi-Hui Zhou
The problem of testing changes in covariance has received increasing attention in recent years, especially in the context of high-dimensional testing. A number of approaches have b…