Learning Fair Classifiers via Min-Max F-divergence Regularization

Meiyu Zhong, Ravi Tandon

As machine learning (ML) based systems are adopted in domains such as law enforcement, criminal justice, finance, hiring and admissions, ensuring the fairness of ML aided decision-…