2019
Average Individual Fairness: Algorithms, Generalization and Experiments
NeurIPS 2019oral
We propose a new family of fairness definitions for classification problems that combine some of the best properties of both statistical and individual notions of fairness. We posit not only a distribution over individuals, but also a distribution over (or collection of) classification tasks. We the…