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Volume 52: Conference on Probabilistic Graphical Models, 6-9 September 2016, Lugano, Switzerland
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Editors: Alessandro Antonucci, Giorgio Corani, Cassio Polpo Campos}
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Preface
Proceedings of the Eighth International Conference on Probabilistic Graphical Models
Alessandro Antonucci, Giorgio Corani, Cassio Polpo Campos;
PMLR 52:i-iv
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Accepted Papers
Learning Tractable Multidimensional Bayesian Network Classifiers
Marco Benjumeda, Concha Bielza, Pedro Larrañaga;
PMLR 52:13-24
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Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences
Bence Bolgár, Péter Antal;
PMLR 52:25-36
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Bayesian Networks: a Combined Tuning Heuristic
Janneke H. Bolt;
PMLR 52:37-49
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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
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On Bayesian Network Inference with Simple Propagation
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, Anders L. Madsen;
PMLR 52:62-73
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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
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Conditional Probability Estimation
Marco E. G. V. Cattaneo;
PMLR 52:86-97
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On Pruning with the MDL Score
Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche;
PMLR 52:98-109
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Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity
Fabio Gagliardi Cozman, Denis Deratani Mauá;
PMLR 52:110-122
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Reintroducing Credal Networks under Epistemic Irrelevance
Jasper De Bock;
PMLR 52:123-135
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Bayesian Torrent Classification by File Name and Size Only
Eugene Dementiev, Norman Fenton;
PMLR 52:136-146
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Multi-Label Classification with Cutset Networks
Nicola Di Mauro, Antonio Vergari, Floriana Esposito;
PMLR 52:147-158
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Statistical Matching of Discrete Data by Bayesian Networks
Eva Endres, Thomas Augustin;
PMLR 52:159-170
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An Exact Approach to Learning Probabilistic Relational Model
Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud;
PMLR 52:171-182
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Identifying the irreducible disjoint factors of a multivariate probability distribution
Maxime Gasse, Alex Aussem;
PMLR 52:183-194
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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
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A Differential Approach to Causality in Staged Trees
Christiane Görgen, Jim Q. Smith;
PMLR 52:207-215
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Causal Discovery from Subsampled Time Series Data by Constraint Optimization
Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks;
PMLR 52:216-227
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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
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Hybrid Copula Bayesian Networks
Kiran Karra, Lamine Mili;
PMLR 52:240-251
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Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks
Jidapa Kraisangka, Marek J. Druzdzel;
PMLR 52:252-263
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The Parameterized Complexity of Approximate Inference in Bayesian Networks
Johan Kwisthout;
PMLR 52:264-274
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A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making
Evangelia Kyrimi, William Marsh;
PMLR 52:275-286
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Learning Parameters of Hybrid Time Bayesian Networks
Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J.F. Lucas;
PMLR 52:287-298
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Estimating Causal Effects with Ancestral Graph Markov Models
Daniel Malinsky, Peter Spirtes;
PMLR 52:299-309
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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
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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
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The Effect of Combination Functions on the Complexity of Relational Bayesian Networks
Denis Deratani Mauá, Fabio Gagliardi Cozman;
PMLR 52:333-344
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Dynamic Sum Product Networks for Tractable Inference on Sequence Data
Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias;
PMLR 52:345-355
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Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks
Carlos Morales, Serafín Moral;
PMLR 52:356-367
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A Hybrid Causal Search Algorithm for Latent Variable Models
Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey;
PMLR 52:368-379
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Bayesian Networks for Variable Groups
Pekka Parviainen, Samuel Kaski;
PMLR 52:380-391
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Learning Acyclic Directed Mixed Graphs from Observations and Interventions
Jose M. Peña;
PMLR 52:392-402
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Student Skill Models in Adaptive Testing
Martin Plajner, Jiří Vomlel;
PMLR 52:403-414
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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
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Evidence Evaluation: a Study of Likelihoods and Independence
Silja Renooij;
PMLR 52:426-437
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An Empirical-Bayes Score for Discrete Bayesian Networks
Marco Scutari;
PMLR 52:438-448
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Estimating Mutual Information in Under-Reported Variables
Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown;
PMLR 52:449-461
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Decisions and Dependence in Influence Diagrams
Ross D. Shachter;
PMLR 52:462-473
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Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks
Ivar Simonsson, Petter Mostad;
PMLR 52:474-486
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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
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The Chordal Graph Polytope for Learning Decomposable Models
Milan Studený, James Cussens;
PMLR 52:499-510
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A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization
Priya Krishnan Sundararajan, Ole J. Mengshoel;
PMLR 52:511-522
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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
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Compressing Bayes Net CPTs with Persistent Leaky Causes
Yang Xiang, Qian Jiang;
PMLR 52:535-546
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