Fair Conformal Classification via Learning Representation-Based Groups

ArXi:2605.12195v1 Announce Type: new Conformal prediction methods provide statistically rigorous marginal coverage guarantees for machine learning models, but such guarantees fail to account for algorithmic biases, thereby undermining fairness and trust. This paper