Improving Fairness-Accuracy Tradeoffs by Leveraging Uncertainty in Sensitive Attribute Predictions

Enforcing fairness constraints on samples with reliable sensitive attribute predictions can significantly improve the fairness-accuracy tradeoff compared to using all samples or samples with uncertain sensitive attributes.