fairml

Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf, Zafar et al. (2019) https://www.jmlr.org/papers/volume20/18-262/18-262.pdf and my own approach from Scutari, Panero and Proissl (2022) https://link.springer.com/content/pdf/10.1007/s11222-022-10143-w.pdf that uses ridge regression to enforce fairness.

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