Sequential Inference for Deep Gaussian Process.
Yali WangMarcus A. BrubakerBrahim Chaib-draaRaquel UrtasunPublished in: AISTATS (2016)
Keyphrases
- gaussian process
- covariance function
- variational inference
- expectation propagation
- gaussian processes
- bayesian nonparametric
- gaussian process regression
- regression model
- approximate inference
- hyperparameters
- model selection
- bayesian framework
- gaussian process classification
- bayesian inference
- gaussian process models
- semi supervised
- sparse approximations
- variational bayes
- marginal likelihood
- loopy belief propagation
- probabilistic inference
- latent variables
- dynamic bayesian networks
- bayesian networks
- decision trees
- closed form
- belief networks
- markov chain monte carlo
- random sampling
- posterior distribution