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.
Dhillon, and Joydeep Ghosh
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.