Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation.
Divyat MahajanIoannis MitliagkasBrady NealVasilis SyrgkanisPublished in: ICLR (2024)
Keyphrases
- model selection
- empirical analysis
- parameter estimation
- error estimation
- cross validation
- selection criterion
- empirical studies
- theoretical analysis
- hyperparameters
- regression model
- bayesian learning
- mixture model
- sample size
- statistical inference
- variable selection
- statistical learning
- model selection criteria
- machine learning
- listed companies
- generalization error
- information criterion
- motion segmentation
- automatic model selection
- gaussian process
- feature selection
- likelihood function
- meta learning
- leave one out cross validation
- decision trees