Convergence of Sparse Variational Inference in Gaussian Processes Regression.
David R. BurtCarl Edward RasmussenMark van der WilkPublished in: CoRR (2020)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- covariance function
- relevance vector machine
- regression model
- gaussian process regression
- model selection
- hyperparameters
- bayesian framework
- bayesian inference
- latent variables
- approximate inference
- semi supervised
- dirichlet process
- multi task learning
- pairwise
- closed form
- support vector
- cross validation
- topic models
- posterior distribution
- generative model
- expectation maximization
- probabilistic model
- high dimensional