PAC Learning of Causal Trees with Latent Variables.
Prasad TadepalliStuart J. RussellPublished in: AAAI (2021)
Keyphrases
- latent variables
- pac learning
- causal relationships
- uniform distribution
- sample size
- probabilistic model
- learning theory
- sample complexity
- random variables
- learning problems
- observational data
- latent variable models
- observed variables
- decision trees
- topic models
- prior knowledge
- membership queries
- hidden variables
- bayesian networks
- vc dimension
- real valued
- causal models
- causal discovery
- upper bound
- generalization error
- graphical models
- causal relations
- causal effects
- special case