CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging
arXiv:2604.07009v1 Announce Type: new
Abstract: Ensuring fairness in machine learning predictions is a critical challenge, especially when models are deployed in sensitive domains such as credit scoring, healthcare, and criminal justice. While many fa…