Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts.
Annie S. ChenYoonho LeeAmrith SetlurSergey LevineChelsea FinnPublished in: CoRR (2023)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- meta learning
- sample size
- parameter estimation
- feature selection
- mixture model
- regression model
- motion segmentation
- statistical learning
- generalization error
- model selection criteria
- selection criterion
- machine learning
- statistical inference
- error estimation
- leave one out cross validation
- gaussian process
- parameter determination
- automatic model selection
- variable selection
- bayesian information criterion
- similarity measure
- generalization bounds