MCMC for Variationally Sparse Gaussian Processes.
James HensmanAlexander G. de G. MatthewsMaurizio FilipponeZoubin GhahramaniPublished in: NIPS (2015)
Keyphrases
- gaussian processes
- covariance function
- relevance vector machine
- dirichlet process
- gaussian process
- gaussian process regression
- multi task learning
- hyperparameters
- approximate inference
- gaussian process models
- markov chain monte carlo
- expectation propagation
- multi task
- preference learning
- bayesian inference
- human pose estimation
- high dimensional
- posterior distribution
- generative model
- non stationary
- latent variables
- regression model
- model selection