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Mikko Koivisto: Confident Bayesian Learning of Graphical Models

  • University of Helsinki Pietari Kalmin katu 5 Exactum, lh D122 Finland (map)

Abstract: Confident Bayesian learning amounts to computing summaries of a
posterior distribution either exactly or with probabilistic accuracy guarantees. I will review the state of the art in confident Bayesian structure learning in graphical models, focusing on the class of Bayesian networks and its subclass of chordal Markov networks.

Speaker: Mikko Koivisto

Affiliation: Professor of Computer Science, University of Helsinki

Place of Seminar: University of Helsinki

Earlier Event: January 15
Rohit Babbar: Scalable Algorithms for Extreme Multi-Class and Multi-Label Classificiation in Big Data
Later Event: February 5
Ville Mustonen: Studying mutational processes in cancer