Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration.
Liangde LiSupun Chathuranga NakandalaArun KumarPublished in: Proc. VLDB Endow. (2021)
Keyphrases
- model selection
- cross validation
- parameter estimation
- sample size
- bayesian learning
- hyperparameters
- statistical learning
- mixture model
- error estimation
- regression model
- model selection criteria
- statistical inference
- selection criterion
- machine learning
- feature selection
- automatic model selection
- variable selection
- leave one out cross validation
- meta learning
- generalization error
- marginal likelihood
- bayesian model selection
- subspace information criterion
- information criterion
- bayesian methods
- learning algorithm