A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation.
Thang D. BuiJosiah YanRichard E. TurnerPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- gaussian process
- expectation propagation
- gaussian process classification
- approximate inference
- bayesian framework
- gaussian processes
- bayesian inference
- density estimation
- regression model
- gaussian process regression
- model selection
- hyperparameters
- latent variables
- dynamic bayesian networks
- bayesian methods
- marginal likelihood
- semi supervised
- variational bayes
- free energy
- posterior distribution
- conditional random fields