Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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.
2019
2019
Streamlined Computing for Variational Inference with Higher Level Random Effects
We derive and present explicit algorithms to facilitate streamlined computing for variational inference for models containing… 
2019
2019
Revisiting Depth Image Fusion with Variational Message Passing
The running average approach has long been perceived as the best choice for fusing depth measurements captured by a consumer… 
2017
2017
Cooperative localization based on an evolved variational message passing algorithm
In this paper, we propose a novel algorithm for cooperative localization in Wireless Networks where relative node distances are… 
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
A variational message passing algorithm for cooperative localization in wireless networks
We propose a novel algorithm for cooperative localization in wireless networks where relative node distances are available. The… 
2016
2016
Variational message passing-based localisation algorithm with Taylor expansion for wireless sensor networks
For localisation algorithms of wireless sensor networks (WSNs), the communication overhead and the computational complexity are… 
2016
2016
Graphical stochastic models for tracking applications with variational message passing inference
In this paper we present a novel, highly-adoptable, state-estimation filter based on the framework of graphical stochastical… 
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… 
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… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)