An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables.
Fattaneh JabbariGregory F. CooperPublished in: SDM (2020)
Keyphrases
- learning algorithm
- latent variables
- probabilistic model
- causal bayesian networks
- factor graphs
- prior knowledge
- hidden variables
- graphical models
- machine learning
- bayesian framework
- learning problems
- structured output
- approximate inference
- em algorithm
- latent variable models
- reinforcement learning
- bayesian networks
- information retrieval