LearningStochasticMajorityVotesby MinimizingaPAC-BayesGeneralizationBound

While our approach holds for arbitrary distributions, we instantiate it with Dirichlet distributions: this allows foraclosed-form anddifferentiable expression fortheexpected risk, which then turns the generalization bound into a tractable training objective.