Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness. Kearns, M. J., Neel, S., Roth, A., & Wu, Z. S. In Dy, J. G. & Krause, A., editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, volume 80, of Proceedings of Machine Learning Research, pages 2569–2577, 2018. PMLR.

Paper bibtex

@inproceedings{DBLP:conf/icml/KearnsNRW18,
  author       = {Michael J. Kearns and
                  Seth Neel and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  editor       = {Jennifer G. Dy and
                  Andreas Krause},
  title        = {Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
                  Fairness},
  booktitle    = {Proceedings of the 35th International Conference on Machine Learning,
                  {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July 10-15,
                  2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {80},
  pages        = {2569--2577},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v80/kearns18a.html},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/KearnsNRW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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