Lifted Message Passing as Reparametrization of Graphical Models.
Martin MladenovAmir GlobersonKristian KerstingPublished in: UAI (2014)
Keyphrases
- graphical models
- message passing
- belief propagation
- probabilistic inference
- approximate inference
- probabilistic model
- random variables
- probabilistic graphical models
- factor graphs
- markov networks
- bayesian networks
- loopy belief propagation
- map inference
- conditional random fields
- exact inference
- structure learning
- belief networks
- free energy
- latent variables
- conditional independence
- junction tree
- partition function
- high quality
- parameter learning
- influence diagrams
- lower bound
- computer vision
- clique potentials