Inference and Mutual Information on Random Factor Graphs.
Amin Coja-OghlanMax Hahn-KlimrothPhilipp LoickNoëla MüllerKonstantinos PanagiotouMatija PaschPublished in: STACS (2021)
Keyphrases
- factor graphs
- mutual information
- inference problems
- graphical models
- message passing
- belief propagation
- approximate inference
- exact inference
- latent variables
- probabilistic inference
- information theoretic
- image registration
- probabilistic graphical models
- undirected graphical models
- similarity measure
- feature selection
- parameter learning
- computer vision
- parameter estimation
- bayesian networks
- belief networks
- topic models
- gaussian process
- prior knowledge
- structure learning
- dynamic bayesian networks
- pairwise