15 citations · 62 across the 21 of their papers we have counts for
Showing 2022 · stat.MEShow all
3 papers · 2 filters
stat.ME2022★ 4 cited
Semi-supervised Triply Robust Inductive Transfer Learning
Tianxi Cai, Mengyan Li, Molei Liu
In this work, we propose a Semi-supervised Triply Robust Inductive transFer LEarning (STRIFLE) approach, which integrates heterogeneous data from a label-rich source population and…
stat.ME2022★ 4 cited
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Doudou Zhou, Molei Liu, Mengyan Li +1
Due to label scarcity and covariate shift happening frequently in real-world studies, transfer learning has become an essential technique to train models generalizable to some targ…
stat.ME2022★ 1 cited
Maxway CRT: Improving the Robustness of the Model-X Inference
Shuangning Li, Molei Liu
The model-X conditional randomization test (CRT) is a flexible and powerful testing procedure for the conditional independence hypothesis: X is independent of Y conditioning on Z.…