Generating Fair Universal Representations using Adversarial Models

Peter Kairouz, Jiachun Liao, Chong Huang +3

We present a data-driven framework for learning fair universal representations (FUR) that guarantee statistical fairness for any learning task that may not be known a priori. Our f…