Accounting for Gaussian Process Imprecision in Bayesian Optimization.
Julian RodemannThomas AugustinPublished in: IUKM (2022)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- marginal likelihood
- hyperparameters
- expectation propagation
- gaussian process regression
- bayesian framework
- model selection
- gaussian process models
- fully bayesian
- latent variables
- approximate inference
- bayesian inference
- semi supervised
- gaussian process classification
- covariance function
- sparse approximations
- posterior distribution
- posterior probability
- bayesian methods
- prior information
- maximum likelihood
- bayesian networks
- probabilistic model
- human pose estimation
- topic models
- sparse approximation
- error rate
- support vector