==PGM 2016

PGM 2016 is the eight edition of the International Conference on Probabilistic Graphical Models. It will take place in Lugano (Switzerland) between the 6th and the 9th of September 2016. The site of the conference is http://pgm.idsia.ch.

It welcomes contributions on all aspects of graphical models including probabilistic reasoning, decision making, learning and data mining. It welcomes both theoretical and applied contributions.

==Registration The early bird registration expires on July 22h. For more information see http://www2.idsia.ch/cms/pgm/registration/.

==Venue information The conference is located in Lugano, a lakeside city in the Italian-speaking canton of Ticino, a region of Switzerland well known for its warm climate and outstanding scenery.

Some hotels make available rooms with discounted fees for the PGM participants. For more information see http://www2.idsia.ch/cms/pgm/venue/

==Invited Speakers and Tutorials

We are pleased to have three distinguished invited speakers. Guido Consonni is Professor of Statistics at Università Cattolica del Sacro Cuore, Milan, Italy. Prof. Consonni will give a talk titled "Bayesian Selection of Essential Graphical Models".

Fabio G. Cozman is Professor at Universidade de São Paulo, Brazil. Prof. Cozman will give a talk titled "The Finite Model Theory of Bayesian Networks: An Invitation".

Adnan Darwiche is Professor and former Chairman of the Computer Science Department at UCLA. Prof. Darwiche will give a talk titled "Learning Arithmetic Circuits with Background Knowledge".

==Tutorials

We will have two tutorials.

"Computational Complexity of Bayesian Networks and Markov Random Fields", by Cassio P. de Campos, Reader at Queen’s University Belfast, UK and Johan Kwisthout, Senior staff member in the Artificial Intelligence Program at Radboud University, and postdoc in the Donders Center for Cognition.

"Learning Sum-Product Networks", by Nicola Di Mauro, Professor at the University of Bari, Italy, and by Antonio Vergari, PhD student at the University of Bari. This tutorial is an ECCAI invited talk, supported by the ECCAI conference sponsorship program.