Accounting for Gaussian Process Imprecision in Bayesian Optimization.
Julian RodemannThomas AugustinPublished in: CoRR (2021)
Keyphrases
- gaussian process
- gaussian processes
- marginal likelihood
- bayesian framework
- fully bayesian
- model selection
- expectation propagation
- regression model
- gaussian process regression
- hyperparameters
- approximate inference
- gaussian process models
- gaussian process classification
- posterior distribution
- latent variables
- covariance function
- semi supervised
- bayesian inference
- sparse approximations
- human pose estimation
- prior knowledge
- machine learning
- parameter settings
- closed form
- maximum likelihood