Multi-source domain adaptation for regression

no code implementations • 9 Dec 2023 • Yujie Wu, Giovanni Parmigiani, Boyu Ren

First, we extend a flexible single-source DA algorithm for classification through outcome-coarsening to enable its application to regression problems.

Domain Adaptation Ensemble Learning +1

Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning

1 code implementation • 1 Jun 2023 • Cathy Shyr, Boyu Ren, Prasad Patil, Giovanni Parmigiani

To this end, we propose a framework for multi-study HTE estimation that accounts for between-study heterogeneity in the nuisance functions and treatment effects.