Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective

ArXi:2511.20909v2 Announce Type: replace-cross Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting, which assigns a weight to each data point used during model