Entropic SMML defines a one-parameter family of coding rules that interpolates between Bayesian average-case and minimax worst-case codelengths, with a PAC-Bayes variational form and asymptotic regimes for regular parametric models.
Fisher information and stochastic complexity.IEEE Transactions on Information Theory, 42(1):40–47, January 1996
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Entropic Strict Minimum Message Length and Its Connections to PAC-Bayes and NML
Entropic SMML defines a one-parameter family of coding rules that interpolates between Bayesian average-case and minimax worst-case codelengths, with a PAC-Bayes variational form and asymptotic regimes for regular parametric models.