Deep Gaussian Process Emulation using Stochastic Imputation.
Deyu MingDaniel WilliamsonSerge GuillasPublished in: CoRR (2021)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- approximate inference
- missing values
- model selection
- bayesian framework
- latent variables
- missing data
- hyperparameters
- covariance function
- gaussian process classification
- expectation propagation
- sparse approximations
- semi supervised
- gaussian process models
- dynamical model
- fully bayesian
- random variables
- supervised learning
- probabilistic model
- image segmentation
- machine learning