High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.
Animashree AnandkumarVincent Y. F. TanAlan S. WillskyPublished in: NIPS (2011)
Keyphrases
- graphical models
- graph structure
- high dimensional
- belief propagation
- directed acyclic
- gaussian graphical models
- probabilistic model
- graphical structure
- random variables
- probabilistic graphical models
- probabilistic inference
- bayesian networks
- chain graphs
- approximate inference
- structure learning
- structural learning
- conditional random fields
- belief networks
- markov networks
- factor graphs
- dimensionality reduction
- map inference
- data points
- exact inference
- low dimensional
- undirected graphical models
- feature space
- message passing
- junction tree
- generative model
- high dimensional data