Achieving Fairness with a Simple Ridge Penalty. (arXiv:2105.13817v3 [cs.LG] UPDATED)

In this paper we present a general framework for estimating regression models
subject to a user-defined level of fairness. We enforce fairness as a model
selection step in which we choose the value of a ridge penalty to control the
effect of sensitive attributes. We then estimate the parameters of the model
conditional on the chosen penalty value. Our proposal is mathematically simple,
with a solution that is partly in closed form, and produces estimates of the
regression coefficients that …

arxiv fairness ridge