Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors.
Tom SavageNausheen BashaOmar MatarEhecatl Antonio del Rio-ChanonaPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- marginal likelihood
- regression model
- bayesian framework
- hyperparameters
- fully bayesian
- model selection
- expectation propagation
- approximate inference
- gaussian process regression
- gaussian process classification
- semi supervised
- latent variables
- bayesian methods
- posterior distribution
- covariance function
- gaussian process models
- bayesian inference
- maximum likelihood
- sparse approximations
- posterior probability
- human pose estimation
- sparse approximation
- multi task
- closed form
- cross validation
- higher order