Deep Gaussian Processes for Regression using Approximate Expectation Propagation.
Thang D. BuiDaniel Hernández-LobatoJosé Miguel Hernández-LobatoYingzhen LiRichard E. TurnerPublished in: ICML (2016)
Keyphrases
- expectation propagation
- gaussian processes
- gaussian process
- covariance function
- regression model
- gaussian process regression
- bayesian methods
- approximate inference
- model selection
- bayesian framework
- hyperparameters
- latent variables
- semi supervised
- bayesian inference
- machine learning
- cross validation
- sample size
- mixture model
- prior knowledge
- feature space