conftrace_

probabilistic graphical model

226 papers

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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

Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016
Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016
Composing graphical models with neural networks for structured representations and fast inference NIPS 2016
Learning Bayesian networks with ancestral constraints NIPS 2016
Gaussian Conditional Random Field Network for Semantic Segmentation CVPR 2016
Learning Planar Ising Models JMLR 2016
Tractable Operations for Arithmetic Circuits of Probabilistic Models NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Clinical Tagging with Joint Probabilistic Models MLHC 2016
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case PGM 2016
Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015
Stochastic Block Transition Models for Dynamic Networks AISTATS 2015
Discrete Restricted Boltzmann Machines JMLR 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015
Human Action Segmentation With Hierarchical Supervoxel Consistency CVPR 2015
Inverse Reinforcement Learning with Locally Consistent Reward Functions NIPS 2015
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Putting MRFs on a Tensor Train ICML 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Loopy Belief Propagation in the Presence of Determinism AISTATS 2014