Variational inference for sparse spectrum Gaussian process regression.
Linda S. L. TanVictor M. H. OngDavid J. NottAjay JasraPublished in: Stat. Comput. (2016)
Keyphrases
- gaussian process regression
- variational inference
- gaussian process
- gaussian processes
- regression model
- bayesian inference
- approximate inference
- model selection
- hyperparameters
- bayesian framework
- semi supervised
- latent variables
- posterior distribution
- latent dirichlet allocation
- topic models
- high dimensional
- closed form
- mixture model
- variational methods
- probabilistic graphical models
- probability distribution
- machine learning
- higher order