jiank2 / InfoFair

Implementations of 'InfoFair: Information-Theoretic Intersectional Fairness', IEEE Big Data 2022

InfoFair: Information-Theoretic Intersectional Fairness

Implementations of 'InfoFair: Information-Theoretic Intersectional Fairness', IEEE BigData'22

Requirements

Main dependency: pytorch

Tested under python 3.8.13, pytorch 1.12.1

Run

Go to src/ folder and run the following code:

python train_infofair.py

Citation

If you find this repository useful, please kindly cite the following paper:

@inproceedings{kang2022infofair,
  title={InfoFair: Information-Theoretic Intersectional Fairness},
  author={Kang, Jian and Xie, Tiankai and Wu, Xintao and Maciejewski, Ross and Tong, Hanghang},
  booktitle={2022 IEEE International Conference on Big Data (Big Data)},
  pages={1455--1464},
  year={2022},
  organization={IEEE}
}