Automated Model Selection with Bayesian Quadrature.
Henry ChaiJean-Francois TonRoman GarnettMichael A. OsbornePublished in: CoRR (2019)
Keyphrases
- model selection
- bayesian learning
- bayesian model selection
- cross validation
- marginal likelihood
- bayesian methods
- statistical inference
- hyperparameters
- parameter estimation
- bayesian approaches
- statistical learning
- covariate shift
- mixture model
- error estimation
- sample size
- information criterion
- regression model
- generalization error
- model selection criteria
- posterior distribution
- selection criterion
- automatic model selection
- machine learning
- variable selection
- gaussian processes
- parameter determination
- feature selection
- meta learning
- gaussian process
- bayesian inference
- motion segmentation
- maximum likelihood
- objective function
- bayesian networks
- posterior probability
- graphical models
- upper bound