Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
arXiv:2505.12530v2 Announce Type: replace-cross
Abstract: Fairness in machine learning has become a critical concern. Existing approaches often focus on achieving full fairness across all score ranges generated by predictive models, ensuring fairness …