Tag: labhc

PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers arXiv:2602.11722v1 Announce Type: new Abstract: Classical PAC generalization bounds on the prediction risk of a classifier are insufficient to provide theoretical guarantees on fairness when the goal is to learn models balancing predictive risk and fairness constraints. We propose a PAC-Bayesian framework for deriving generalization…