CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

Explore CAFP, a novel post-processing framework that mitigates algorithmic bias by averaging predictions across counterfactual inputs, enabling fair deployme...

Level: advanced

By Irina Arévalo, Marcos Oliva

Category: discussion