Undersmoothing Causal Estimators With Generative Trees.
Damian MachlanskiSpyridon SamothrakisPaul ClarkePublished in: IEEE Access (2024)
Keyphrases
- decision trees
- generative model
- causal models
- causal relations
- data driven
- tree structures
- causal inference
- causal relationships
- bayesian networks
- tree structure
- unsupervised learning
- data sets
- tree construction
- variance estimator
- experimental data
- directed acyclic graph
- discriminative learning
- probability distribution
- causal discovery
- low variance
- causal independence
- binary trees
- causal theories
- analytical expressions