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 conference website is http://pgm.idsia.ch.
It welcomes contributions on all aspects of graphical models
including probabilistic reasoning, decision making, learning
and data mining. Both theoretical and applied contributions
are welcome. The deadline for submissions is May 20, 2016.
::: PROCEEDINGS :::
The accepted papers will be published in the proceedings
track (http://jmlr.csail.mit.edu/proceedings/) of the Journal
of Machine Learning Research (JMLR).
Submission instructions and the author's kit are available
The page limit is 12 pages in the JMLR (single-column) style.
Each submission will be double-blind reviewed by three referees.
::: IJAR Special Issue :::
Selected papers will be invited to be extended and then submitted
to a special issue of the International Journal of Approximate
::: INVITED SPEAKERS :::
We are pleased to have three distinguished invited speakers.
Guido Consonni is Professor of Statistics at Università
Cattolica del Sacro Cuore, Milan, Italy. His current research
topics are in the area of: model selection, graphical models
and Bayesian networks, objective Bayesian analysis, models
for high-dimensional data, hierarchical models. He is Chair
of the Objective Bayes Section of the International Society
for Bayesian Analysis (ISBA).
Fabio G. Cozman is Professor at Universidade de São Paulo,
Brazil. He works with probabilistic reasoning and machine
learning, with a special interest in formalisms that extend
probability theory. He has served as Program and General
Chair of the Conf. on Uncertainty in Artificial Intelligence,
Area Chair of the Int. Joint Conf. on Artificial Intelligence,
and as Associate Editor of the Journal of Artificial
Intelligence Research and of the Journal of Approximate
Reasoning, as well as of the Artificial Intelligence Journal.
Adnan Darwiche is Professor and former Chairman of the Computer
Science Department at UCLA. His research focuses on the theory
and practice of symbolic and probabilistic reasoning, with
recent applications to machine learning. He served as
editor-in-chief of the Journal of Artificial Intelligence
Research (JAIR) and is an AAAI fellow. He is also author of
"Modeling and Reasoning with Bayesian Networks",
published by Cambridge University Press in 2009.
::: 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, The Netherlands.
"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.
::: DEADLINES :::
May 20, 2016: Paper submission deadline
June 10, 2016: Author notification
June 24, 2016: Camera-ready copy due
September 6-9, 2016: Conference
Dalle Molle Institute
for Artificial Intelligence
Via Cantonale (Galleria 2)
CH-6928, Manno-Lugano, CH
mail: [log in to unmask]
tel: +41 916108515
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