PGM 2016

47 papers

Compressing Bayes Net CPTs with Persistent Leaky Causes

Yang Xiang, Qian Jiang

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

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

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

Priya Krishnan Sundararajan, Ole J. Mengshoel

The Chordal Graph Polytope for Learning Decomposable Models

Milan Studený, James Cussens

Computing Lower and Upper Bounds on the Probability of Causal Statements

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

Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks

Ivar Simonsson, Petter Mostad

Decisions and Dependence in Influence Diagrams

Ross D. Shachter

Estimating Mutual Information in Under-Reported Variables

Konstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown

An Empirical-Bayes Score for Discrete Bayesian Networks

Marco Scutari

Evidence Evaluation: a Study of Likelihoods and Independence

Silja Renooij

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

Student Skill Models in Adaptive Testing

Martin Plajner, Jiří Vomlel

Learning Acyclic Directed Mixed Graphs from Observations and Interventions

Jose M. Peña

Bayesian Networks for Variable Groups

Pekka Parviainen, Samuel Kaski

A Hybrid Causal Search Algorithm for Latent Variable Models

Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey

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

Carlos Morales, Serafín Moral

Dynamic Sum Product Networks for Tractable Inference on Sequence Data

Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias

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

Denis Deratani Mauá, Fabio Gagliardi Cozman

d-VMP: Distributed Variational Message Passing

Andrés R. Masegosa, Ana M. Martı́nez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón

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

Péter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal

Estimating Causal Effects with Ancestral Graph Markov Models

Daniel Malinsky, Peter Spirtes

Learning Parameters of Hybrid Time Bayesian Networks

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

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

Evangelia Kyrimi, William Marsh

The Parameterized Complexity of Approximate Inference in Bayesian Networks

Johan Kwisthout

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

Jidapa Kraisangka, Marek J. Druzdzel

Hybrid Copula Bayesian Networks

Kiran Karra, Lamine Mili

Online Algorithms for Sum-Product Networks with Continuous Variables

Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali

Causal Discovery from Subsampled Time Series Data by Constraint Optimization

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

A Differential Approach to Causality in Staged Trees

Christiane Görgen, Jim Q. Smith

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow

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

Identifying the irreducible disjoint factors of a multivariate probability distribution

Maxime Gasse, Alex Aussem

An Exact Approach to Learning Probabilistic Relational Model

Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud

Statistical Matching of Discrete Data by Bayesian Networks

Eva Endres, Thomas Augustin

Multi-Label Classification with Cutset Networks

Nicola Di Mauro, Antonio Vergari, Floriana Esposito

Bayesian Torrent Classification by File Name and Size Only

Eugene Dementiev, Norman Fenton

Reintroducing Credal Networks under Epistemic Irrelevance

Jasper De Bock

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

Fabio Gagliardi Cozman, Denis Deratani Mauá

On Pruning with the MDL Score

Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche

Conditional Probability Estimation

Marco E. G. V. Cattaneo

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

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

On Bayesian Network Inference with Simple Propagation

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

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

Bayesian Networks: a Combined Tuning Heuristic

Janneke H. Bolt

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

Bence Bolgár, Peter Antal

Learning Tractable Multidimensional Bayesian Network Classifiers

Marco Benjumeda, Concha Bielza, Pedro Larrañaga

Regime Aware Learning

Marcus Bendtsen

Proceedings of the Eighth International Conference on Probabilistic Graphical Models

Alessandro Antonucci, Giorgio Corani, Cassio Polpo Campos