2 papers
stat.ML2025
Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
Variable importance is one of the most widely used measures for interpreting machine learning with significant interest from both statistics and machine learning communities. Recen…
stat.ML2025
Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
Xiaohan Wang, Yang Ning
In this paper, we extend the transfer learning classification framework from regression function-based methods to decision rules. We propose a novel methodology for modeling poster…