conftrace_

probabilistic graphical model

226 papers

Explore in graph

Also known as

PGM

Co-occurring keywords

graphical model (864) bayesian network (378) bayesian inference (1907) variational inference (2069) approximate inference (253) probabilistic modeling (852) structure learning (341) markov random field (303) belief propagation (177) probabilistic inference (312)

Papers

Most Probable Explanations for Probabilistic Database Queries IJCAI 2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017
Order Statistics for Probabilistic Graphical Models IJCAI 2017
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic JMLR 2017
Non-parametric Structured Output Networks NIPS 2017
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews EMNLP 2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NIPS 2017
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NIPS 2017
Locally Consistent Bayesian Network Scores for Multi-Relational Data IJCAI 2017
Coarse-to-Fine Lifted MAP Inference in Computer Vision IJCAI 2017
Universal Models of Multivariate Temporal Point Processes AISTATS 2016
Reintroducing Credal Networks under Epistemic Irrelevance PGM 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
An Exact Approach to Learning Probabilistic Relational Model PGM 2016
Statistical Matching of Discrete Data by Bayesian Networks PGM 2016
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity PGM 2016
Herded Gibbs Sampling JMLR 2016
Bayesian Networks: a Combined Tuning Heuristic PGM 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Regime Aware Learning PGM 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Decisions and Dependence in Influence Diagrams PGM 2016
Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016