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Variational message passing

Known as: Message passing (disambiguation), Passing 
Variational message passing (VMP) is an approximate inference technique for continuous- or discrete-valued Bayesian networks, with conjugate… 
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Related topics

Related topics

3 relations
Latent Dirichlet allocationMarkov blanketOne-shot learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
HEVA: cooperative localization using a combined non-parametric belief propagation and variational message passing approach
This paper proposes a novel cooperative localization method for distributed wireless networks in 3-dimensional (3D) global… 
2016
2016
Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
Iterative information processing, either based on heurist ics or analytical frameworks, has been shown to be a very powerful tool… 
2014
2014
Consensus Message Passing for Layered Graphical Models
Generative models provide a powerful framework for probabilistic reasoning. However, in many domains their use has been hampered… 
2013
2013
Variational message-passing: extension to continuous variables and applications in multi-target tracking
This dissertation focuses on both the application and development of variational inference algorithms for probabilistic graphical… 
2008
2008
Variational Transform Invariant Mixture of Probabilistic PCA
In many video-based object recognition applications, the object appearances are acquired by visual tracking or detection and are… 
2008
2008
Variational Transform Invariant Mixture of Probabilistic PCA
In many video based object recognition applications, the object appearances are acquired by visual tracking and are inconsistent… 
2006
2006
Distributed Bayes Blocks for Variational Bayesian Learning
In this work preliminary results on a distributed version of Bayes Blocks software library [1, 4] are presented. Bayes Blocks is… 
2006
2006
Variational Shift Invariant Probabilistic PCA for Face Recognition
While PCA learns a subspace that captures the variations of the data, it assumes the collected data is well pre-processed (i.e… 
2005
2005
Explorer Variational Message Passing
Bayesian inference is now widely established as one of the pr inci al foundations for machine learning. In practice, exact… 
Review
2005
Review
2005
Variational Learning : From exponential families to multilinear systems
This note aims to give a general overview of variational inference on graphical models. Starting with the need for the… 
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