Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process.
Qin LuKonstantinos D. PolyzosBingcong LiGeorgios B. GiannakisPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- gaussian process
- gaussian processes
- bayesian modeling
- marginal likelihood
- gaussian process regression
- gaussian process models
- regression model
- fully bayesian
- bayesian framework
- approximate inference
- gaussian process classification
- model selection
- dynamical models
- expectation propagation
- semi supervised
- covariance function
- dynamical model
- hyperparameters
- sparse approximations
- closed form
- human pose estimation
- bayesian methods
- posterior probability
- latent variables
- generative model
- learning algorithm