Fairness in Supervised Learning: An Information Theoretic Approach

AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash. Fairness in Supervised Learning: An Information Theoretic Approach. In 2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, CO, USA, June 17-22, 2018. pages 176-180, IEEE, 2018. [doi]

@inproceedings{GhassamiKK18,
  title = {Fairness in Supervised Learning: An Information Theoretic Approach},
  author = {AmirEmad Ghassami and Sajad Khodadadian and Negar Kiyavash},
  year = {2018},
  doi = {10.1109/ISIT.2018.8437807},
  url = {https://doi.org/10.1109/ISIT.2018.8437807},
  researchr = {https://researchr.org/publication/GhassamiKK18},
  cites = {0},
  citedby = {0},
  pages = {176-180},
  booktitle = {2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, CO, USA, June 17-22, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-4781-3},
}