On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook

This is a PyTorch implementation of the our TMLR paper. This work builds on Pawlowski, Castro, and Glocker's paper and the code in this repository is adapted from . Pawlowski, Castro, and Glocker's code repository can be found in .

This repository contains the code for the paper.

S. Saha⁺, U. Garain. On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook. Transactions on Machine Learning Research. 2022

If you use pre-abduction idea in your publications, please consider citing the accompanying paper with a BibTeX entry similar to the following:

@article{
saha2022on,
title={On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook },
author={Saptarshi Saha and Utpal Garain},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2022},
url={https://openreview.net/forum?id=4FU8Jz1Oyj},
note={}
}

(⁺: first author)

P.S. - We will maintain this repository and will keep updating.