A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization.
Mickaël BinoisNathan WycoffPublished in: ACM Trans. Evol. Learn. Optim. (2022)
Keyphrases
- gaussian process
- gaussian processes
- high dimensional
- gaussian process regression
- bayesian framework
- gaussian process models
- hyperparameters
- model selection
- expectation propagation
- maximum likelihood
- semi supervised
- regression model
- marginal likelihood
- low dimensional
- gaussian process classification
- incremental learning
- dynamical model
- latent space
- decision trees
- latent variables
- parameter space
- training data