Active Learning for Deep Gaussian Process Surrogates.
Annie SauerRobert B. GramacyDavid HigdonPublished in: Technometrics (2023)
Keyphrases
- gaussian process
- active learning
- semi supervised
- gaussian processes
- hyperparameters
- random sampling
- gaussian process regression
- approximate inference
- regression model
- model selection
- bayesian framework
- latent variables
- covariance function
- training set
- gaussian process classification
- dynamical model
- gaussian process models
- labeled data
- supervised learning
- learning algorithm
- machine learning
- cross validation
- incremental learning
- transfer learning
- marginal likelihood
- similarity measure
- expectation propagation
- decision trees