Conferences, workshops, courses, and other events

The Program Committee of the 9th Probabilistic Graphical Models (PGM-2018) conference announced the winners of the BayesFusion Best Student Paper Award during the PGM-2018 conference banquet in Prague, Czech Republic, on September 13.  The winners are:

BayesFusion Best Student Paper Award given jointly to:

Irene Córdoba, Department of Artificial Intelligence Universidad Politécnica de Madrid, Spain, for the paper entitled A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices, co-authored with Gherardo Varando, Concha Bielza and Pedro Larrañaga

Kari Rantanen, HIIT, Department of Computer Science, University of Helsinki, Finland, for the paper entitled Learning Optimal Causal Graphs with Exact Search, co-authored with Antti Hyttinen and Matti Järvisalo

Honorable Mentions:
Gherardo Varando, Department of Artificial Intelligence Universidad Politécnica de Madrid, Spain, and Department of Mathematical Sciences, University of Copenhagen, Denmark, for being a student co-author of the paper that won the BayesFusion Best Student Paper Award, entitled A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices, with Irene Córdoba, Concha Bielza and Pedro Larrañaga

Janne Leppä-aho, University of Helsinki, Department of Computer Science / HIIT, Finland, for the paper entitled Learning Non-parametric Markov Networks with Mutual Information, co-authored with Santeri Räisänen, Xiao Yang and Teemu Roos

BayesFusion, LLC, has offered a $1,000 cash award for the best student paper in the 9th Probabilistic Graphical Models (PGM-2018) conference, which will take place in Prague, Czech Republic, September 11-14.

PyData Warsaw 2017 logo

Prof. Druzdzel, a co-founder of BayesFusion, LLC, gave a presentation on the topic of Learning Bayesian Networks and Causal Discovery at the PyData Warsaw meeting #9: Deep & Machine Learning on 29 March 2017.  A recording of the presentation is available through BayesFusion’s YouTube channel (https://youtu.be/UWvxeOo91Fo).

ABNMS logo

Prof. Druzdzel, a co-founder of BayesFusion, LLC, delivered an invited plenary talk at the Eighth Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2016) held at the University of Western Australia on 22-25th November 2016. The conference is an annual meeting of the Australasian Bayesian Network Modelling Society (ABNMS, http://www.abnms.org/). ABNMS’s purpose is to promote the understanding and use of Bayesian network models in scientific, industrial, and research applications. The invited plenary talk, titled “(The Importance of) Human Interface to Bayesian Networks” focused on various user interface techniques employed in GeNIe that compose its widely known user interface. A recording of the talk is available through BayesFusion’s YouTube channel (https://youtu.be/mxeiJbo8FWw).

 

PGM2016 logo

Prof. Druzdzel, one of the co-founders of BayesFusion, LLC, participated in the Eighth International Conference on Probabilistic Graphical Models (PGM), which took place in Lugano, Switzerland, September 6-9, 2016. PGM is a biennial meeting that brings together researchers interested in all aspects of graphical models for probabilistic reasoning, decision making, and learning. Prof. Druzdzel took part in a round-table panel “Probabilistic graphical models, software tools, and their applications to real-world problems.” The panel, whose members included representatives of leading software companies in the field, focused on issues related to practical application of probabilistic graphical models.