A visual introduction to Gaussian Belief Propagation

Submission Number: 161
Submission ID: 3852
Submission UUID: 5f7863fc-31a2-4034-a0ed-09a42f1785af
Submission URI: /form/resource

Created: Thu, 07/20/2023 - 12:59
Completed: Thu, 07/20/2023 - 12:59
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 73.243.81.95
Submitted by: Ofer Dagan
Language: English

Is draft: No
Approved Yes
Title A visual introduction to Gaussian Belief Propagation
Category Website
Skill Level Beginner, Intermediate
Description This website is an interactive introduction to Gaussian Belief Propagation (GBP). A probabilistic inference algorithm that operates by passing messages between the nodes of arbitrarily structured factor graphs. A special case of loopy belief propagation, GBP updates rely only on local information and will converge independently of the message schedule. The key argument is that, given recent trends in computing hardware, GBP has the right computational properties to act as a scalable distributed probabilistic inference framework for future machine learning systems.
Link to Resource
Tags ai, machine-learning
Domain ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast
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