Model Selection for Contextual Bandits.
Dylan J. FosterAkshay KrishnamurthyHaipeng LuoPublished in: NeurIPS (2019)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- sample size
- regression model
- model selection criteria
- feature selection
- bayesian learning
- gaussian process
- error estimation
- mixture model
- selection criterion
- marginal likelihood
- parameter determination
- motion segmentation
- statistical learning
- statistical inference
- variable selection
- meta learning
- data sets
- information criterion
- machine learning
- least squares
- image segmentation
- bayesian information criterion
- leave one out cross validation
- data mining
- real world