Approximate Inference for Fully Bayesian Gaussian Process Regression.
Vidhi LalchandCarl Edward RasmussenPublished in: CoRR (2019)
Keyphrases
- approximate inference
- gaussian process regression
- gaussian process
- gaussian processes
- regression model
- markov chain monte carlo
- model selection
- hyperparameters
- latent variables
- expectation propagation
- bayesian framework
- semi supervised
- higher order
- graphical models
- closed form
- bayesian networks
- random variables
- level set
- pairwise