Repository with code to reproduce the semi-synthetic experiments from "Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness.” Please see our paper for details.
You could start by cloning the repository with the following commands.
git clone https://github.com/JacyAnthis/Causal-Context.git
cd Causal-Context
Then you need only run experiment.py to produce the results. It should take around 30 minutes on a personal laptop or Google Colab.
python experiment.py
If you find this repository useful, please consider citing:
@inproceedings{anthis2023causal,
title = {Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness},
author = {Anthis, Jacy Reese and Veitch, Victor},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
year = {2023}
}