Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions.
Hongqiao WangJinglai LiPublished in: Neural Comput. (2018)
Keyphrases
- expectation propagation
- bayesian inference
- gaussian process
- hyperparameters
- gaussian processes
- marginal likelihood
- variational inference
- sparse approximations
- approximate inference
- covariance function
- prior information
- gaussian process regression
- posterior distribution
- probabilistic model
- regression model
- maximum likelihood
- variational bayes
- density estimation
- bayesian framework
- semi supervised
- closed form
- latent variables
- bayesian model
- model selection
- particle filter
- bayesian methods
- posterior probability
- data sets