This repository contains code for reproducing experiment results in:
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt. Delayed Impact of Fair Machine Learning. Proceedings of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.
- Clone this repository.
- Download the
datafolder from the Github repository for fairmlbook (Barocas, Hardt and Narayanan 2018), saving it to the root directory of the
delayedimpact/notebooks/FICO-figures.ipynbin Jupyter with a Python 3.6 kernel and run all cells.
Part of our implementation is adapted from:
Moritz Hardt, Eric Price, and Nati Srebro. Equality of opportunity in supervised learning. In Proc. 30th NIPS, 2016.
This repository is licensed under the BSD 3-Clause "New" or "Revised" License.