Bethe Learning of Graphical Models via MAP Decoding.
Kui TangNicholas RuozziDavid BelangerTony JebaraPublished in: AISTATS (2016)
Keyphrases
- graphical models
- bayesian networks
- probabilistic model
- belief propagation
- approximate inference
- structural learning
- random variables
- probabilistic inference
- markov logic networks
- learning algorithm
- first order logic
- conditional random fields
- prior knowledge
- reinforcement learning
- probabilistic graphical models
- statistical inference
- deep architectures
- relational models
- statistical relational learning
- exact inference
- parameter learning
- message passing
- belief networks
- maximum likelihood
- probability distribution
- hidden markov models