Entropic Causal Inference: Identifiability and Finite Sample Results.
Spencer ComptonMurat KocaogluKristjan H. GreenewaldDmitriy KatzPublished in: NeurIPS (2020)
Keyphrases
- loss function
- finite sample
- causal inference
- causal models
- sample size
- causal discovery
- statistical learning theory
- uniform convergence
- nearest neighbor
- error bounds
- pairwise
- causal relationships
- directed acyclic graph
- generalization error
- additive noise
- supervised classification
- learning algorithm
- observational data
- multi class
- model selection
- image processing