Wasserstein-based fairness interpretability framework for machine learning models

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan. Wasserstein-based fairness interpretability framework for machine learning models. Machine Learning, 111(9):3307-3357, 2022. [doi]

@article{MiroshnikovKFK22,
  title = {Wasserstein-based fairness interpretability framework for machine learning models},
  author = {Alexey Miroshnikov and Konstandinos Kotsiopoulos and Ryan Franks and Arjun Ravi Kannan},
  year = {2022},
  doi = {10.1007/s10994-022-06213-9},
  url = {https://doi.org/10.1007/s10994-022-06213-9},
  researchr = {https://researchr.org/publication/MiroshnikovKFK22},
  cites = {0},
  citedby = {0},
  journal = {Machine Learning},
  volume = {111},
  number = {9},
  pages = {3307-3357},
}