Description: The package includes the Python code of QHTE which aims to efficiently and effectively estimate the Heterogeneous Treatment Effect (HTE) on a given observational data budget.
Reference:
[1] Tian Qin, Tian-Zuo Wang and Zhi-Hua Zhou. Budgeted Heterogeneous Treatment Effect Estimation. In: Proceedings of the 38th International Conference on Machine Learning (ICML'21), 2021.
ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact
Prof. Zhi-Hua Zhou.
ATTN2: This package is developed by
Tian Qin. The readme file roughly explains how to use the code. For any problem concerning the code, please feel free to contact
Tian Qin.
Requirement: The package was developed with Python 3.7. Please see the requirements.txt file for more details.
Download: [
code] (41.7MB)