PAC-learning has no concept of prior or even of likelihood, and it allows you to learn regardless. If by “Bayesianism” you mean “learning”, then sure, PAC-learning is a type of Bayesianism. But I don’t see why it’s useful to view it that way (Bayes’s rule is never used, for example).
PAC-learning has no concept of prior or even of likelihood, and it allows you to learn regardless. If by “Bayesianism” you mean “learning”, then sure, PAC-learning is a type of Bayesianism. But I don’t see why it’s useful to view it that way (Bayes’s rule is never used, for example).