Causal additive models with unobserved variables.
Takashi Nicholas MaedaShohei ShimizuPublished in: UAI (2021)
Keyphrases
- additive models
- causal effects
- linear models
- causal relationships
- causal relations
- observational data
- causal models
- observed variables
- causal discovery
- variable selection
- hidden variables
- bayesian networks
- directed acyclic graph
- latent variables
- linear classifiers
- high dimensional
- decision trees
- random variables
- active learning
- training data