In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation.
Alicia CurthMihaela van der SchaarPublished in: ICML (2023)
Keyphrases
- model selection
- parameter estimation
- cross validation
- error estimation
- selection criterion
- hyperparameters
- bayesian learning
- meta learning
- regression model
- mixture model
- statistical learning
- feature selection
- statistical inference
- generalization error
- sample size
- model selection criteria
- variable selection
- gaussian process
- automatic model selection
- motion segmentation
- similarity measure
- machine learning
- active learning
- likelihood function
- training set
- decision trees
- bayesian information criterion
- information criterion
- marginal likelihood
- data mining