Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
Martin WistubaNicolas SchillingLars Schmidt-ThiemePublished in: Mach. Learn. (2018)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- model selection
- gaussian process regression
- regression model
- bayesian framework
- grid search
- approximate inference
- semi supervised
- gaussian process classification
- latent variables
- gaussian process models
- dynamical model
- covariance function
- cross validation
- expectation propagation
- sample size
- marginal likelihood
- sparse approximations
- closed form
- transfer learning
- markov random field
- data streams
- decision trees
- data sets