Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador. Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. In Peggy Cellier, Kurt Driessens, editors, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Volume 1167 of Communications in Computer and Information Science, pages 590-604, Springer, 2019. [doi]
@inproceedings{HoreshHMRL19,
title = {Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning},
author = {Yair Horesh and Noa Haas and Elhanan Mishraky and Yehezkel S. Resheff and Shir Meir Lador},
year = {2019},
doi = {10.1007/978-3-030-43823-4_47},
url = {https://doi.org/10.1007/978-3-030-43823-4_47},
researchr = {https://researchr.org/publication/HoreshHMRL19},
cites = {0},
citedby = {0},
pages = {590-604},
booktitle = {Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I},
editor = {Peggy Cellier and Kurt Driessens},
volume = {1167},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-030-43823-4},
}