Learning Antidote Data to Individual Unfairness

Peizhao Li, Ethan Xia, Hongfu Liu. Learning Antidote Data to Individual Unfairness. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 20168-20181, PMLR, 2023. [doi]

@inproceedings{LiXL23-6,
  title = {Learning Antidote Data to Individual Unfairness},
  author = {Peizhao Li and Ethan Xia and Hongfu Liu},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/li23ag.html},
  researchr = {https://researchr.org/publication/LiXL23-6},
  cites = {0},
  citedby = {0},
  pages = {20168-20181},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}