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Department seminars in informatics

Confident Bayesian Learning of Graphical Models

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Confident Bayesian learning amounts to computing summaries of a posterior distribution either exactly or with probabilistic accuracy guarantees.

 I will review what is currently known about confident Bayesian structure learning in graphical models, focusing on the class of Bayesian networks and its subclass of chordal Markov networks