How does Naïve Bayes relate to posterior regularization frameworks?

Posterior regularization constrains Naïve Bayes posterior distributions to satisfy additional structural or domain constraints.

Posterior regularization modifies Bayesian inference by enforcing constraints on posterior distributions, such as sparsity, fairness, or entropy bounds. In Naïve Bayes, this can adjust P(C|X) after computation to satisfy external requirements while preserving generative structure.