Fair Models in Machine Learning
Description
Fair machine learning regression models which take sensitive attributes into account in
model estimation. Currently implementing Komiyama et al. (2018)
, Zafar et al.
(2019) and my own
approach from Scutari, Panero and Proissl (2022)
that uses ridge regression to enforce fairness.