Deep Gaussian Processes Using Expectation Propagation and Monte Carlo Methods.
Gonzalo Hernández-MuñozCarlos Villacampa-CalvoDaniel Hernández-LobatoPublished in: ECML/PKDD (3) (2020)
Keyphrases
- gaussian process
- gaussian processes
- expectation propagation
- bayesian methods
- gaussian process regression
- approximate inference
- regression model
- covariance function
- hyperparameters
- latent variables
- bayesian framework
- model selection
- semi supervised
- bayesian inference
- monte carlo
- cross validation
- random sampling
- maximum likelihood
- higher order
- probabilistic model
- topic models
- particle filter