PGM 2016

46 papers

A Differential Approach to Causality in Staged Trees Christiane Görgen, Jim Q. Smith

A Genetic Algorithm for Learning Parameters in Bayesian Networks Using Expectation Maximization Priya Krishnan Sundararajan, Ole J. Mengshoel

A Hybrid Causal Search Algorithm for Latent Variable Models Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey

A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making Evangelia Kyrimi, William Marsh

An Empirical-Bayes Score for Discrete Bayesian Networks Marco Scutari

An Exact Approach to Learning Probabilistic Relational Model Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud

Bayesian Matrix Factorization with Non-Random Missing Data Using Informative Gaussian Process Priors and Soft Evidences Bence Bolgár, Péter Antal

Bayesian Networks for Variable Groups Pekka Parviainen, Samuel Kaski

Bayesian Networks: A Combined Tuning Heuristic Janneke H. Bolt

Bayesian Torrent Classification by File Name and Size Only Eugene Dementiev, Norman Fenton

Causal Discovery from Subsampled Time Series Data by Constraint Optimization Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks

Compressing Bayes Net CPTs with Persistent Leaky Causes Yang Xiang, Qian Jiang

Computing Lower and Upper Bounds on the Probability of Causal Statements Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes

Conditional Probability Estimation Marco E. G. V. Cattaneo

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

Decisions and Dependence in Influence Diagrams Ross D. Shachter

Dynamic Sum Product Networks for Tractable Inference on Sequence Data Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias

Estimating Causal Effects with Ancestral Graph Markov Models Daniel Malinsky, Peter Spirtes

Estimating Mutual Information in Under-Reported Variables Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown

Evidence Evaluation: A Study of Likelihoods and Independence Silja Renooij

Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks Ivar Simonsson, Petter Mostad

Hybrid Copula Bayesian Networks Kiran Karra, Lamine Mili

Identifying the Irreducible Disjoint Factors of a Multivariate Probability Distribution Maxime Gasse, Alex Aussem

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease Péter Marx, András Millinghoffer, Gabriella Juhász, Péter Antal

Learning Acyclic Directed Mixed Graphs from Observations and Interventions Jose M. Peña

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

Learning Parameters of Hybrid Time Bayesian Networks Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J.F. Lucas

Learning Tractable Multidimensional Bayesian Network Classifiers Marco Benjumeda, Concha Bielza, Pedro Larrañaga

Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks Jidapa Kraisangka, Marek J. Druzdzel

Multi-Label Classification with Cutset Networks Nicola Di Mauro, Antonio Vergari, Floriana Esposito

On Bayesian Network Inference with Simple Propagation Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, Anders L. Madsen

On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification Yi Tan, Prakash P. Shenoy, Moses W. Chan, Paul M. Romberg

On Pruning with the MDL Score Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow Thomas Geier, Michael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm

Online Algorithms for Sum-Product Networks with Continuous Variables Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity Fabio Gagliardi Cozman, Denis Deratani Mauá

Regime Aware Learning Marcus Bendtsen

Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks Carlos Morales, Serafín Moral

Reintroducing Credal Networks Under Epistemic Irrelevance Jasper De Bock

Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira

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

Statistical Matching of Discrete Data by Bayesian Networks Eva Endres, Thomas Augustin

Student Skill Models in Adaptive Testing Martin Plajner, Jiří Vomlel

The Chordal Graph Polytope for Learning Decomposable Models Milan Studený, James Cussens

The Effect of Combination Functions on the Complexity of Relational Bayesian Networks Denis Deratani Mauá, Fabio Gagliardi Cozman

The Parameterized Complexity of Approximate Inference in Bayesian Networks Johan Kwisthout