GmGM: a fast multi-axis Gaussian graphical model.

Ethan B. Andrew David Westhead Luisa Cutillo

Published 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