Model selection for contextual bandits.
Dylan J. FosterAkshay KrishnamurthyHaipeng LuoPublished in: CoRR (2019)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- machine learning
- regression model
- statistical learning
- sample size
- selection criterion
- error estimation
- parameter determination
- motion segmentation
- data sets
- information criterion
- gaussian process
- marginal likelihood
- model selection criteria
- mixture model
- meta learning
- decision trees
- feature selection
- generalization error