Model Selection for Bayesian Autoencoders.
Ba-Hien TranSimone RossiDimitrios MiliosPietro MichiardiEdwin V. BonillaMaurizio FilipponePublished in: NeurIPS (2021)
Keyphrases
- model selection
- bayesian learning
- marginal likelihood
- bayesian model selection
- statistical inference
- cross validation
- hyperparameters
- bayesian methods
- covariate shift
- posterior distribution
- parameter estimation
- bayesian approaches
- sample size
- motion segmentation
- model selection criteria
- statistical learning
- regression model
- denoising
- feature selection
- information criterion
- variable selection
- generalization error
- meta learning
- machine learning
- selection criterion
- bayesian networks
- mixture model
- automatic model selection
- gaussian processes
- gaussian process
- leave one out cross validation
- data mining
- markov chain monte carlo
- posterior probability
- gaussian mixture model
- unsupervised learning
- probabilistic model
- parameter determination