Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates

Zahra Khatti, Daniel P. Robinson, Frank E. Curtis

A new strategy for fair supervised machine learning is proposed. The main advantages of the proposed strategy as compared to others in the literature are as follows. (a) We introdu…