Sklearn-style implementations of model selection criteria for CATE estimation.
This repo contains code to replicate the results presented in the ICML23 paper 'In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation'.
If you use this software please cite the corresponding paper:
@inproceedings{curth2023search,
title={In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation},
author={Curth, Alicia and van der Schaar, Mihaela},
booktitle={International Conference on Machine Learning},
year={2023},
organization={PMLR}
}