2 papers
stat.ML2026
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks
Xiao Guo, Xuming He, Xiangyu Chang +1
Modern applications increasingly involve highly sensitive network data, where raw edges cannot be shared due to privacy constraints. We propose \texttt{TransNet}, a new spectral cl…
cs.LG2025
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
Ying Wu, Hanzhong Liu, Kai Ren +2
Interpretability plays a crucial role in the application of statistical learning to estimate heterogeneous treatment effects (HTE) in complex diseases. In this study, we leverage a…