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I seem to recall EY once claiming that insofar as any learning method works, it is for Bayesian reasons. It just occurred to me that even after studying various representation and complete class theorems I am not sure how this claim can be justified - certainly one can construct working predictors for many problems that are far from explicitly Bayesian. What might he have had in mind?