Deep Gaussian Processes with Importance-Weighted Variational Inference.
Hugh SalimbeniVincent DutordoirJames HensmanMarc Peter DeisenrothPublished in: CoRR (2019)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- hyperparameters
- bayesian inference
- model selection
- approximate inference
- dirichlet process
- regression model
- semi supervised
- latent variables
- bayesian framework
- posterior distribution
- multi task learning
- prior information
- variational methods
- mixture model
- closed form
- exact inference
- probabilistic graphical models
- cross validation
- active learning
- probabilistic model
- maximum likelihood
- topic models
- image reconstruction
- latent dirichlet allocation
- noisy images
- multiscale