Deep Gaussian Processes with Importance-Weighted Variational Inference.
Hugh SalimbeniVincent DutordoirJames HensmanMarc Peter DeisenrothPublished in: ICML (2019)
Keyphrases
- gaussian process
- variational inference
- gaussian processes
- hyperparameters
- regression model
- approximate inference
- bayesian inference
- bayesian framework
- dirichlet process
- model selection
- latent variables
- semi supervised
- multi task learning
- posterior distribution
- closed form
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- cross validation
- graphical models
- higher order
- variational methods