An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference.
Yishai ShimoniEhud KaravaniSivan RavidPeter BakTan Hung NgSharon Hensley AlfordDenise MeadeYaara GoldschmidtPublished in: CoRR (2019)
Keyphrases
- model selection
- causal inference
- cross validation
- hyperparameters
- parameter estimation
- sample size
- additive noise
- regression model
- variable selection
- model selection criteria
- selection criterion
- machine learning
- meta learning
- feature selection
- nonmonotonic reasoning
- gaussian process
- causal models
- discrete data
- rare events
- noisy images