Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes.
Eduardo C. Garrido-MerchánDaniel Hernández-LobatoPublished in: Neurocomputing (2020)
Keyphrases
- gaussian processes
- integer valued
- gaussian process
- bayesian approaches
- real valued
- gaussian process regression
- preference learning
- bayesian methods
- relevance vector machine
- covariance function
- multi task learning
- gaussian process models
- multi task
- human pose estimation
- semi supervised
- model selection
- posterior distribution
- hyperparameters
- bayesian framework
- sample size
- labeled data