Fair ERM

This code is the official implementation of Fair Classification with Group-Dependent Label Noise.

Requirements

To install requirements:

pip install -r requirements.txt

Running

To run the code

python3 run.py

Specifically, the surrogate loss function and the group peer loss function is implemented in PeerLoss.py. The proxy fairness constraints are implemented in ProxyConstraint.py. The code for data preprocessing is in datasets.py. utils.py defines some utility functions.

Reference

If you found this code useful for your research, please cite the following paper:

Jialu Wang, Yang Liu, and Caleb Levy. 2021. Fair Classification with Group-Dependent Label Noise. In ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21), March 1–10, 2021, Virtual Event, Canada. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3442188.3445915