Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective

Flavien Prost, Pranjal Awasthi, Nick Blumm +7

In this work we study the problem of measuring the fairness of a machine learning model under noisy information. Focusing on group fairness metrics, we investigate the particular b…