Mikko Koivisto, Associate Professor of Computer Science, University of Helsinki

Confident Bayesian Learning of Graphical Models

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.

Machine Learning Coffee seminars are weekly seminars held jointly by the University of Helsinki and Aalto University. The seminars aim to gather people from different fields of science with interest in machine learning. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Next talks: 

Jan 22 Kumpula: Mikko Koivisto

Jan 29 Otaniemi: public job talks (details TBA)

Feb 5 Kumpula: Ville Mustonen

Feb 12 Otaniemi: Michael Betancourt

Welcome!