Surrogate modeling for Bayesian optimization beyond a single Gaussian process.
Qin LuKonstantinos D. PolyzosBingcong LiGeorgios B. GiannakisPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- bayesian modeling
- gaussian process models
- marginal likelihood
- gaussian process regression
- regression model
- expectation propagation
- fully bayesian
- bayesian framework
- hyperparameters
- model selection
- latent variables
- covariance function
- semi supervised
- gaussian process classification
- dynamical model
- approximate inference
- dynamical models
- sparse approximations
- posterior distribution
- maximum likelihood
- bayesian methods
- human pose estimation
- posterior probability
- cross validation
- random variables
- generative model
- lower bound
- bayesian networks
- image segmentation
- data sets