Improving Fairness with Ensemble Combination: Margin-Dependent Bounds

ArXi:2301.10813v5 Announce Type: replace-cross The concern about hidden discrimination in machine learning models is growing, as their widespread real-world applications increasingly impact human lives. Various techniques, including commonly used group fairness measures and several fairness-aware ensemble-based methods, have been developed to enhance fairness.