Understanding Probabilistic Sparse Gaussian Process Approximations.
Matthias BauerMark van der WilkCarl Edward RasmussenPublished in: NIPS (2016)
Keyphrases
- gaussian process
- sparse approximations
- expectation propagation
- covariance function
- gaussian processes
- regression model
- sparse representation
- sparse approximation
- approximate inference
- gaussian process regression
- latent variables
- bayesian framework
- hyperparameters
- model selection
- probabilistic model
- gaussian process classification
- semi supervised
- marginal likelihood
- posterior probability
- bayesian methods
- generative model
- high dimensional
- bayesian networks
- closed form
- prior information
- high dimensional data
- prior knowledge