Deep Gaussian Processes for Regression using Approximate Expectation Propagation.
Thang D. BuiDaniel Hernández-LobatoYingzhen LiJosé Miguel Hernández-LobatoRichard E. TurnerPublished in: CoRR (2016)
Keyphrases
- expectation propagation
- gaussian processes
- gaussian process
- gaussian process regression
- regression model
- covariance function
- approximate inference
- bayesian methods
- model selection
- bayesian framework
- hyperparameters
- latent variables
- semi supervised
- bayesian inference
- closed form
- prior knowledge
- message passing
- support vector
- learning tasks
- active learning
- pairwise