Bayesian network structure learning with causal effects in the presence of latent variables.
Kiattikun ChobthamAnthony C. ConstantinouPublished in: PGM (2020)
Keyphrases
- latent variables
- causal effects
- bayesian network structure learning
- observational data
- observed variables
- causal relationships
- bayesian networks
- probabilistic model
- structure learning
- causal relations
- random variables
- prior knowledge
- graphical models
- graph theoretic
- gaussian process
- topic models
- hidden variables
- experimental data
- linear models
- causal models
- causal discovery
- posterior probability
- generative model
- natural language processing
- supervised learning