Entropic Causal Inference: Identifiability and Finite Sample Results.
Spencer ComptonMurat KocaogluKristjan H. GreenewaldDmitriy KatzPublished in: CoRR (2021)
Keyphrases
- causal inference
- finite sample
- causal models
- sample size
- statistical learning theory
- causal discovery
- uniform convergence
- nearest neighbor
- error bounds
- observational data
- causal relationships
- directed acyclic graph
- additive noise
- generalization error
- sufficient conditions
- machine learning
- model selection
- worst case
- data sets
- supervised classification
- learning problems
- rare events
- support vector machine
- feature extraction