Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation.
Tomoharu IwataAtsutoshi KumagaiPublished in: CoRR (2023)
Keyphrases
- gaussian processes
- meta learning
- model selection
- covariance function
- gaussian process
- learning tasks
- hyperparameters
- gaussian process regression
- inductive learning
- multi task
- machine learning algorithms
- relevance vector machine
- cross validation
- machine learning
- decision trees
- metamodel
- base classifiers
- regression model
- feature selection
- learning problems
- sample size
- learning algorithm
- data mining
- semi supervised