Sparse Gaussian Process Regression Beyond Variational Inference.
Martin JankowiakGeoff PleissJacob R. GardnerPublished in: CoRR (2019)
Keyphrases
- gaussian process regression
- variational inference
- gaussian process
- gaussian processes
- hyperparameters
- regression model
- approximate inference
- model selection
- bayesian inference
- bayesian framework
- semi supervised
- posterior distribution
- probabilistic model
- closed form
- latent variables
- high dimensional
- topic models
- latent dirichlet allocation
- video sequences
- exponential family
- probabilistic graphical models
- prior information
- incremental learning
- machine learning
- mixture model
- maximum likelihood
- graphical models
- worst case
- pairwise
- multiscale