The Gaussian Process Density Sampler.
Ryan Prescott AdamsIain MurrayDavid J. C. MacKayPublished in: NIPS (2008)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- approximate inference
- bayesian framework
- hyperparameters
- posterior distribution
- regression model
- latent variables
- model selection
- semi supervised
- gaussian process classification
- monte carlo
- markov chain
- covariance function
- markov chain monte carlo
- sparse approximations
- gaussian process models
- em algorithm
- marginal likelihood
- random sampling
- bayesian inference
- topic models
- lower bound
- probability distribution