Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models.
Yee-Fun LimChee Koon NgU. S. VaitesswarKedar HippalgaonkarPublished in: Adv. Intell. Syst. (2021)
Keyphrases
- gaussian process
- gaussian processes
- neural network ensemble
- hyperparameters
- regression model
- expectation propagation
- posterior distribution
- marginal likelihood
- bayesian framework
- latent variables
- semi supervised
- model selection
- bayesian inference
- neural network
- bayesian networks
- competitive learning
- closed form
- cross validation
- back propagation
- em algorithm
- maximum likelihood
- learning algorithm
- incremental learning
- expectation maximization
- prior knowledge
- data sets