Bayesian Model Selection, the Marginal Likelihood, and Generalization.
Sanae LotfiPavel IzmailovGregory W. BentonMicah GoldblumAndrew Gordon WilsonPublished in: CoRR (2022)
Keyphrases
- marginal likelihood
- bayesian model selection
- model selection
- cross validation
- hyperparameters
- parameter estimation
- regression model
- information criterion
- gaussian process
- posterior probability
- sample size
- mixture model
- em algorithm
- bayesian information criterion
- machine learning
- unsupervised learning
- closed form
- bayesian framework
- least squares
- data association
- active learning
- bayesian networks
- feature selection