Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation.
Divyat MahajanIoannis MitliagkasBrady NealVasilis SyrgkanisPublished in: CoRR (2022)
Keyphrases
- model selection
- empirical analysis
- parameter estimation
- cross validation
- error estimation
- selection criterion
- hyperparameters
- empirical studies
- theoretical analysis
- regression model
- bayesian learning
- model selection criteria
- sample size
- variable selection
- marginal likelihood
- gaussian process
- information criterion
- mixture model
- listed companies
- machine learning
- feature selection
- bayesian information criterion
- meta learning
- generalization bounds
- motion segmentation
- statistical inference
- generalization error
- leave one out cross validation
- statistical model
- likelihood function
- bayesian methods
- maximum likelihood
- bayesian model selection
- automatic model selection