Metadata-Version: 2.3
Name: PyRiesz
Version: 0.0.1
Summary: Pytorch implementation of the multitasking RieszNet architecture for Auto-DML doubly-robust estimation of causal effects
Project-URL: Homepage, https://github.com/doctor-phil/pyriesz
Project-URL: Issues, https://github.com/doctor-phil/pyriesz/issues
Author-email: Philip Solimine <philipsolimine@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# PyRiesz
 Flexible PyTorch implementations of Auto-DML estimators of the Riesz Representer for causal effects estimation with machine learning.
 
Implements the multitask learning RieszNet architecture from [Chernozhukov, Newey, Quintas-Martı́nez, and Syrgkanis (2022, PMLR)](https://proceedings.mlr.press/v162/chernozhukov22a.html), as well as the LASSO estimator of the Riesz representation described in [Chernozhukov, Newey, and Singh (2022, Econometrica)](https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA18515)
