Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees
Animashree AnandkumarRagupathyraj ValluvanPublished in: CoRR (2012)
Keyphrases
- graphical models
- latent variables
- approximate inference
- random variables
- probabilistic graphical models
- probabilistic model
- belief propagation
- latent variable models
- undirected graphical models
- probabilistic inference
- factor graphs
- structure learning
- relational dependency networks
- variational methods
- markov networks
- markov logic networks
- parameter learning
- exact inference
- structural svms
- hidden variables
- structured prediction
- max margin
- discriminative learning
- prior knowledge
- message passing
- conditional random fields
- active learning
- bayesian networks
- learning algorithm
- posterior distribution
- loopy belief propagation
- probability distribution
- statistical models