An efficient method to impose fairness in linear models

We present a method for learning linear models which meet a fairness requirement with respect to a group of sensitive attributes. The method involves adding a set of linear constraints into the optimization problem such as SVMs or logistic regression. Preliminary experiments indicate that the method performs favorably over a state-of-the-art approach.