Doubly Stochastic Variational Inference for Deep Gaussian Processes.
Hugh SalimbeniMarc Peter DeisenrothPublished in: NIPS (2017)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- approximate inference
- regression model
- model selection
- hyperparameters
- semi supervised
- bayesian framework
- bayesian inference
- latent variables
- variational methods
- posterior distribution
- closed form
- topic models
- mixture model
- latent dirichlet allocation
- cross validation
- higher order
- prior knowledge