Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions

Hao Wang, Berk Ustun, Flávio P. Calmon. Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 6618-6627, PMLR, 2019. [doi]

@inproceedings{WangUC19,
  title = {Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions},
  author = {Hao Wang and Berk Ustun and Flávio P. Calmon},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/wang19l.html},
  researchr = {https://researchr.org/publication/WangUC19},
  cites = {0},
  citedby = {0},
  pages = {6618-6627},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
  editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
  volume = {97},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}