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JMLR Workshop and Conference Proceedings

Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models

Editors: Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos



Proceedings of the Eighth International Conference on Probabilistic Graphical Models

Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos

Accepted Papers

Regime Aware Learning

Marcus Bendtsen

Learning Tractable Multidimensional Bayesian Network Classifiers

Marco Benjumeda, Concha Bielza, Pedro Larrañaga

Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences

Bence Bolgár, Péter Antal

Bayesian Networks: a Combined Tuning Heuristic

Janneke H. Bolt

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

On Bayesian Network Inference with Simple Propagation

Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, Anders L. Madsen

Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks

Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira

Conditional Probability Estimation

Marco E. G. V. Cattaneo

On Pruning with the MDL Score

Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity

Fabio Gagliardi Cozman, Denis Deratani Mauá

Reintroducing Credal Networks under Epistemic Irrelevance

Jasper De Bock

Bayesian Torrent Classification by File Name and Size Only

Eugene Dementiev, Norman Fenton

Multi-Label Classification with Cutset Networks

Nicola Di Mauro, Antonio Vergari, Floriana Esposito

Statistical Matching of Discrete Data by Bayesian Networks

Eva Endres, Thomas Augustin

An Exact Approach to Learning Probabilistic Relational Model

Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud

Identifying the irreducible disjoint factors of a multivariate probability distribution

Maxime Gasse, Alex Aussem

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow

Thomas Geier, Michael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm

A Differential Approach to Causality in Staged Trees

Christiane Görgen, Jim Q. Smith

Causal Discovery from Subsampled Time Series Data by Constraint Optimization

Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks

Online Algorithms for Sum-Product Networks with Continuous Variables

Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart

Hybrid Copula Bayesian Networks

Kiran Karra, Lamine Mili

Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks

Jidapa Kraisangka, Marek J. Druzdzel

The Parameterized Complexity of Approximate Inference in Bayesian Networks

Johan Kwisthout

A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making

Evangelia Kyrimi, William Marsh

Learning Parameters of Hybrid Time Bayesian Networks

Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J.F. Lucas

Estimating Causal Effects with Ancestral Graph Markov Models

Daniel Malinsky, Peter Spirtes

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease

Péter Marx, András Millinghoffer, Gabriella Juhász, Péter Antal

d-VMP: Distributed Variational Message Passing

Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

The Effect of Combination Functions on the Complexity of Relational Bayesian Networks

Denis Deratani Mauá, Fabio Gagliardi Cozman

Dynamic Sum Product Networks for Tractable Inference on Sequence Data

Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias

Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks

Carlos Morales, Serafín Moral

A Hybrid Causal Search Algorithm for Latent Variable Models

Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey

Bayesian Networks for Variable Groups

Pekka Parviainen, Samuel Kaski

Learning Acyclic Directed Mixed Graphs from Observations and Interventions

Jose M. Peña

Student Skill Models in Adaptive Testing

Martin Plajner, Jiří Vomlel

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Darío Ramos-López, Antonio Salmerón, Rafel Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen

Evidence Evaluation: a Study of Likelihoods and Independence

Silja Renooij

An Empirical-Bayes Score for Discrete Bayesian Networks

Marco Scutari

Estimating Mutual Information in Under-Reported Variables

Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown

Decisions and Dependence in Influence Diagrams

Ross D. Shachter

Exact Inference on Conditional Linear \(\Gamma\)-Gaussian Bayesian Networks

Ivar Simonsson, Petter Mostad

Computing Lower and Upper Bounds on the Probability of Causal Statements

Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes

The Chordal Graph Polytope for Learning Decomposable Models

Milan Studený, James Cussens

A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization

Priya Krishnan Sundararajan, Ole J. Mengshoel

On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification

Yi Tan, Prakash P. Shenoy, Moses W. Chan, Paul M. Romberg

Compressing Bayes Net CPTs with Persistent Leaky Causes

Yang Xiang, Qian Jiang