Revisiting Bellman Errors for Offline Model Selection.
Joshua P. ZitovskyDaniel de MarchiRishabh AgarwalMichael Rene KosorokPublished in: ICML (2023)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- regression model
- sample size
- model selection criteria
- meta learning
- motion segmentation
- statistical learning
- selection criterion
- variable selection
- leave one out cross validation
- machine learning
- mixture model
- error estimation
- automatic model selection
- generalization error
- marginal likelihood
- bayesian methods
- hypothesis tests
- parameter determination
- bayesian model selection
- feature vectors