Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

Pranjal Awasthi, Alex Beutel, Matthaeus Kleindessner +2

Training and evaluation of fair classifiers is a challenging problem. This is partly due to the fact that most fairness metrics of interest depend on both the sensitive attribute i…