Volume 52: Conference on Probabilistic Graphical Models, 6-9 September 2016, Lugano, Switzerland
[edit]
Editors:
Alessandro Antonucci,
Giorgio Corani,
Cassio Polpo Campos}
[bib][citeproc]
Preface
Proceedings of the Eighth International Conference on Probabilistic Graphical Models
Alessandro Antonucci,
Giorgio Corani,
Cassio Polpo Campos
;
PMLR 52:i-iv
[abs]
[Download PDF]
Accepted Papers
Learning Tractable Multidimensional Bayesian Network Classifiers
Marco Benjumeda,
Concha Bielza,
Pedro Larrañaga
;
PMLR 52:13-24
[abs]
[Download PDF]
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences
Bence Bolgár,
Péter Antal
;
PMLR 52:25-36
[abs]
[Download PDF]
Bayesian Networks: a Combined Tuning Heuristic
Janneke H. Bolt
;
PMLR 52:37-49
[abs]
[Download PDF]
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case
Marcos L.P. Bueno,
Arjen Hommersom,
Peter J.F. Lucas,
Sicco Verwer,
Alexis Linard
;
PMLR 52:50-61
[abs]
[Download PDF]
On Bayesian Network Inference with Simple Propagation
Cory J. Butz,
Jhonatan S. Oliveira,
André E. dos Santos,
Anders L. Madsen
;
PMLR 52:62-73
[abs]
[Download PDF]
Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks
Cory J. Butz,
André E. dos Santos,
Jhonatan S. Oliveira
;
PMLR 52:74-85
[abs]
[Download PDF]
Conditional Probability Estimation
Marco E. G. V. Cattaneo
;
PMLR 52:86-97
[abs]
[Download PDF]
On Pruning with the MDL Score
Eunice Yuh-Jie Chen,
Arthur Choi,
Adnan Darwiche
;
PMLR 52:98-109
[abs]
[Download PDF]
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity
Fabio Gagliardi Cozman,
Denis Deratani Mauá
;
PMLR 52:110-122
[abs]
[Download PDF]
Reintroducing Credal Networks under Epistemic Irrelevance
Jasper De Bock
;
PMLR 52:123-135
[abs]
[Download PDF]
Bayesian Torrent Classification by File Name and Size Only
Eugene Dementiev,
Norman Fenton
;
PMLR 52:136-146
[abs]
[Download PDF]
Multi-Label Classification with Cutset Networks
Nicola Di Mauro,
Antonio Vergari,
Floriana Esposito
;
PMLR 52:147-158
[abs]
[Download PDF]
Statistical Matching of Discrete Data by Bayesian Networks
Eva Endres,
Thomas Augustin
;
PMLR 52:159-170
[abs]
[Download PDF]
An Exact Approach to Learning Probabilistic Relational Model
Nourhene Ettouzi,
Philippe Leray,
Montassar Ben Messaoud
;
PMLR 52:171-182
[abs]
[Download PDF]
Identifying the irreducible disjoint factors of a multivariate probability distribution
Maxime Gasse,
Alex Aussem
;
PMLR 52:183-194
[abs]
[Download PDF]
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow
Thomas Geier,
Michael Glodek,
Georg Layher,
Heiko Neumann,
Susanne Biundo,
Günther Palm
;
PMLR 52:195-206
[abs]
[Download PDF]
A Differential Approach to Causality in Staged Trees
Christiane Görgen,
Jim Q. Smith
;
PMLR 52:207-215
[abs]
[Download PDF]
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
Antti Hyttinen,
Sergey Plis,
Matti Järvisalo,
Frederick Eberhardt,
David Danks
;
PMLR 52:216-227
[abs]
[Download PDF]
Online Algorithms for Sum-Product Networks with Continuous Variables
Priyank Jaini,
Abdullah Rashwan,
Han Zhao,
Yue Liu,
Ershad Banijamali,
Zhitang Chen,
Pascal Poupart
;
PMLR 52:228-239
[abs]
[Download PDF]
Hybrid Copula Bayesian Networks
Kiran Karra,
Lamine Mili
;
PMLR 52:240-251
[abs]
[Download PDF]
Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks
Jidapa Kraisangka,
Marek J. Druzdzel
;
PMLR 52:252-263
[abs]
[Download PDF]
The Parameterized Complexity of Approximate Inference in Bayesian Networks
Johan Kwisthout
;
PMLR 52:264-274
[abs]
[Download PDF]
A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making
Evangelia Kyrimi,
William Marsh
;
PMLR 52:275-286
[abs]
[Download PDF]
Learning Parameters of Hybrid Time Bayesian Networks
Manxia Liu,
Arjen Hommersom,
Maarten van der Heijden,
Peter J.F. Lucas
;
PMLR 52:287-298
[abs]
[Download PDF]
Estimating Causal Effects with Ancestral Graph Markov Models
Daniel Malinsky,
Peter Spirtes
;
PMLR 52:299-309
[abs]
[Download PDF]
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease
Péter Marx,
András Millinghoffer,
Gabriella Juhász,
Péter Antal
;
PMLR 52:310-320
[abs]
[Download PDF]
d-VMP: Distributed Variational Message Passing
Andrés R. Masegosa,
Ana M. Martı́nez,
Helge Langseth,
Thomas D. Nielsen,
Antonio Salmerón,
Darío Ramos-López,
Anders L. Madsen
;
PMLR 52:321-332
[abs]
[Download PDF]
The Effect of Combination Functions on the Complexity of Relational Bayesian Networks
Denis Deratani Mauá,
Fabio Gagliardi Cozman
;
PMLR 52:333-344
[abs]
[Download PDF]
Dynamic Sum Product Networks for Tractable Inference on Sequence Data
Mazen Melibari,
Pascal Poupart,
Prashant Doshi,
George Trimponias
;
PMLR 52:345-355
[abs]
[Download PDF]
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks
Carlos Morales,
Serafín Moral
;
PMLR 52:356-367
[abs]
[Download PDF]
A Hybrid Causal Search Algorithm for Latent Variable Models
Juan Miguel Ogarrio,
Peter Spirtes,
Joe Ramsey
;
PMLR 52:368-379
[abs]
[Download PDF]
Bayesian Networks for Variable Groups
Pekka Parviainen,
Samuel Kaski
;
PMLR 52:380-391
[abs]
[Download PDF]
Learning Acyclic Directed Mixed Graphs from Observations and Interventions
Jose M. Peña
;
PMLR 52:392-402
[abs]
[Download PDF]
Student Skill Models in Adaptive Testing
Martin Plajner,
Jiří Vomlel
;
PMLR 52:403-414
[abs]
[Download PDF]
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
Darı́o Ramos-López,
Antonio Salmerón,
Rafel Rumı́,
Ana M. Martı́nez,
Thomas D. Nielsen,
Andrés R. Masegosa,
Helge Langseth,
Anders L. Madsen
;
PMLR 52:415-425
[abs]
[Download PDF]
Evidence Evaluation: a Study of Likelihoods and Independence
Silja Renooij
;
PMLR 52:426-437
[abs]
[Download PDF]
An Empirical-Bayes Score for Discrete Bayesian Networks
Marco Scutari
;
PMLR 52:438-448
[abs]
[Download PDF]
Estimating Mutual Information in Under-Reported Variables
Konstantinos Sechidis,
Matthew Sperrin,
Emily Petherick,
Gavin Brown
;
PMLR 52:449-461
[abs]
[Download PDF]
Decisions and Dependence in Influence Diagrams
Ross D. Shachter
;
PMLR 52:462-473
[abs]
[Download PDF]
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks
Ivar Simonsson,
Petter Mostad
;
PMLR 52:474-486
[abs]
[Download PDF]
Computing Lower and Upper Bounds on the Probability of Causal Statements
Elena Sokolova,
Martine Hoogman,
Perry Groot,
Tom Claassen,
Tom Heskes
;
PMLR 52:487-498
[abs]
[Download PDF]
The Chordal Graph Polytope for Learning Decomposable Models
Milan Studený,
James Cussens
;
PMLR 52:499-510
[abs]
[Download PDF]
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization
Priya Krishnan Sundararajan,
Ole J. Mengshoel
;
PMLR 52:511-522
[abs]
[Download PDF]
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification
Yi Tan,
Prakash P. Shenoy,
Moses W. Chan,
Paul M. Romberg
;
PMLR 52:523-534
[abs]
[Download PDF]
Compressing Bayes Net CPTs with Persistent Leaky Causes
Yang Xiang,
Qian Jiang
;
PMLR 52:535-546
[abs]
[Download PDF]
