General-purpose validation and model selection when estimating individual treatment effects.
Alejandro SchulerNigam ShahPublished in: CoRR (2018)
Keyphrases
- model selection
- general purpose
- cross validation
- parameter estimation
- hyperparameters
- statistical learning
- regression model
- bayesian learning
- sample size
- error estimation
- motion segmentation
- meta learning
- machine learning
- model selection criteria
- variable selection
- gaussian process
- information criterion
- mixture model
- statistical inference
- selection criterion
- parameter determination
- data mining
- automatic model selection
- generalization error
- feature selection
- hypothesis tests
- likelihood function
- bayesian model selection