2 papers
stat.ML2025
GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
Zhaoyu Xing, Yang Wan, Juan Wen +1
It is important to identify the discriminative features for high dimensional clustering. However, due to the lack of cluster labels, the regularization methods developed for superv…
stat.ME2024
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
Pengfei Shi, Xinyu Zhang, Wei Zhong
We propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The…