Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables.
Robert E. TillmanPeter SpirtesPublished in: AISTATS (2011)
Keyphrases
- bayesian network structures
- equivalence classes
- hidden variables
- bayesian networks
- causal structure
- multiple tasks
- reinforcement learning
- conditional independencies
- prior knowledge
- learning process
- latent variable models
- probabilistic model
- equivalence class
- learning algorithm
- directed acyclic graph
- learning bayesian networks
- learned models
- learning models
- observational data
- markov blanket
- causal ordering
- structured prediction
- structure learning
- causal relationships
- causal models
- variable selection
- model selection
- np hard