Variational Inference and Model Selection with Generalized Evidence Bounds.
Liqun ChenChenyang TaoRuiyi ZhangRicardo HenaoLawrence CarinPublished in: ICML (2018)
Keyphrases
- model selection
- variational inference
- gaussian process
- mixture model
- hyperparameters
- posterior distribution
- bayesian inference
- cross validation
- parameter estimation
- regression model
- statistical learning
- variational methods
- sample size
- motion segmentation
- latent dirichlet allocation
- probabilistic graphical models
- machine learning
- closed form
- upper bound
- topic models
- approximate inference
- gaussian mixture model
- exponential family
- density estimation
- unsupervised learning
- generalization error
- worst case
- probabilistic model
- lower bound
- feature selection
- generative model
- maximum likelihood
- graphical models
- exact inference