GmGM: a fast multi-axis Gaussian graphical model.
Ethan B. AndrewDavid WestheadLuisa CutilloPublished in: AISTATS (2024)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- probabilistic graphical models
- approximate inference
- bayesian networks
- conditional random fields
- belief networks
- gaussian graphical models
- markov networks
- structure learning
- map inference
- conditional independence
- exact inference
- structural learning
- factor graphs
- graph structure
- conditional dependencies
- nonparametric belief propagation
- gaussian distribution
- maximum likelihood
- probabilistic networks
- undirected graphical models
- message passing
- parameter estimation
- least squares
- prior knowledge