2018
Empirical Risk Minimization Under Fairness Constraints
NeurIPS 2018poster
We address the problem of algorithmic fairness: ensuring that sensitive information does not unfairly influence the outcome of a classifier. We present an approach based on empirical risk minimization, which incorporates a fairness constraint into the learning problem. It encourages the conditional…