yongkaiwu / Fairness-Aware-Classification

This is an implementation for On Convexity and Bounds of Fairness-aware Classification, Yongkai Wu, Lu Zhang, Xintao Wu in WWW'19.

Development

1. Due to the compatibility of CVXPY, this implementation works on Linux.
2. Our implementation is based on Python 3.6.
3. The python distribution Anaconda or Miniconda is highly recommended. Since we utilize the environment management tool conda, Miniconda is minimal and sufficient.

Reproduction

To re-produce this repository:

1. Recover the environment by conda env create --file conda-env.txt --name YOUR_ENV_NAME.
2. Go into the new environment and install dccp by pip install dccp==0.1.6.
3. run python main.py.

BibTex

@inproceedings{10.1145/3308558.3313723,
author = {Wu, Yongkai and Zhang, Lu and Wu, Xintao},
title = {On Convexity and Bounds of Fairness-Aware Classification},
year = {2019},
isbn = {9781450366748},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3308558.3313723},
doi = {10.1145/3308558.3313723},
booktitle = {The World Wide Web Conference},
pages = {3356–3362},
numpages = {7},
keywords = {algorithmic bias, classification;constrained optimization, Fairness-aware machine learning},
location = {San Francisco, CA, USA},
series = {WWW '19}
}