Proceedings of the Eighth International Conference on Probabilistic Graphical Models

Alessandro Antonucci, Giorgio Corani, Cassio Polpo Campos; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:i-iv

[abs][Download PDF]

Regime Aware Learning

Marcus Bendtsen; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:1-12

[abs][Download PDF]

Learning Tractable Multidimensional Bayesian Network Classifiers

Marco Benjumeda, Concha Bielza, Pedro Larrañaga; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:25-36

[abs][Download PDF]

Bayesian Networks: a Combined Tuning Heuristic

Janneke H. Bolt; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:74-85

[abs][Download PDF]

Conditional Probability Estimation

Marco E. G. V. Cattaneo; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:86-97

[abs][Download PDF]

On Pruning with the MDL Score

Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:98-109

[abs][Download PDF]

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

Fabio Gagliardi Cozman, Denis Deratani Mauá; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:110-122

[abs][Download PDF]

Reintroducing Credal Networks under Epistemic Irrelevance

Jasper De Bock; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:123-135

[abs][Download PDF]

Bayesian Torrent Classification by File Name and Size Only

Eugene Dementiev, Norman Fenton; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:136-146

[abs][Download PDF]

Multi-Label Classification with Cutset Networks

Nicola Di Mauro, Antonio Vergari, Floriana Esposito; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:147-158

[abs][Download PDF]

Statistical Matching of Discrete Data by Bayesian Networks

Eva Endres, Thomas Augustin; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:159-170

[abs][Download PDF]

An Exact Approach to Learning Probabilistic Relational Model

Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:171-182

[abs][Download PDF]

Identifying the irreducible disjoint factors of a multivariate probability distribution

Maxime Gasse, Alex Aussem; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:195-206

[abs][Download PDF]

A Differential Approach to Causality in Staged Trees

Christiane Görgen, Jim Q. Smith; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:228-239

[abs][Download PDF]

Hybrid Copula Bayesian Networks

Kiran Karra, Lamine Mili; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:240-251

[abs][Download PDF]

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

Jidapa Kraisangka, Marek J. Druzdzel; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:252-263

[abs][Download PDF]

The Parameterized Complexity of Approximate Inference in Bayesian Networks

Johan Kwisthout; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:287-298

[abs][Download PDF]

Estimating Causal Effects with Ancestral Graph Markov Models

Daniel Malinsky, Peter Spirtes; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:356-367

[abs][Download PDF]

A Hybrid Causal Search Algorithm for Latent Variable Models

Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:368-379

[abs][Download PDF]

Bayesian Networks for Variable Groups

Pekka Parviainen, Samuel Kaski; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:380-391

[abs][Download PDF]

Learning Acyclic Directed Mixed Graphs from Observations and Interventions

Jose M. Peña; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:392-402

[abs][Download PDF]

Student Skill Models in Adaptive Testing

Martin Plajner, Jiří Vomlel; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:415-425

[abs][Download PDF]

Evidence Evaluation: a Study of Likelihoods and Independence

Silja Renooij; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:426-437

[abs][Download PDF]

An Empirical-Bayes Score for Discrete Bayesian Networks

Marco Scutari; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:438-448

[abs][Download PDF]

Estimating Mutual Information in Under-Reported Variables

Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:449-461

[abs][Download PDF]

Decisions and Dependence in Influence Diagrams

Ross D. Shachter; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:462-473

[abs][Download PDF]

Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks

Ivar Simonsson, Petter Mostad; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:487-498

[abs][Download PDF]

The Chordal Graph Polytope for Learning Decomposable Models

Milan Studený, James Cussens; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 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; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:523-534

[abs][Download PDF]

Compressing Bayes Net CPTs with Persistent Leaky Causes

Yang Xiang, Qian Jiang; Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:535-546

[abs][Download PDF]