Model Selection for Bayesian Autoencoders.
Ba-Hien TranSimone RossiDimitrios MiliosPietro MichiardiEdwin V. BonillaMaurizio FilipponePublished in: CoRR (2021)
Keyphrases
- model selection
- bayesian learning
- bayesian model selection
- marginal likelihood
- cross validation
- statistical inference
- hyperparameters
- bayesian methods
- covariate shift
- bayesian approaches
- denoising
- parameter estimation
- regression model
- posterior distribution
- sample size
- statistical learning
- mixture model
- machine learning
- model selection criteria
- automatic model selection
- motion segmentation
- error estimation
- variable selection
- bayesian inference
- gaussian processes
- selection criterion
- feature selection
- meta learning
- unsupervised learning
- maximum likelihood
- gaussian process
- bayesian networks
- generalization error
- semi supervised
- bayesian information criterion
- leave one out cross validation
- closed form
- training set
- multivariate regression