Fast and scalable learning of sparse changes in high-dimensional graphical model structure.

Beilun Wang Jiaqi Zhang Haoqing Xu Te Tao

Published in: Neurocomputing (2022)

Keyphrases

graphical models
high dimensional
gaussian graphical models
undirected graphical models
probabilistic model
belief propagation
directed acyclic

conditional dependencies
markov logic networks
probabilistic graphical models
probabilistic inference
random variables
graph structure

dynamic programming
factor graphs
structural learning
pairwise
reinforcement learning
bayesian networks

conditional random fields
learning algorithm
conditional independence
structure learning
low dimensional
prior knowledge