Bayesian Meta-Learning Through Variational Gaussian Processes.
Vivek MyersNikhil SardanaPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- meta learning
- model selection
- gaussian process
- learning tasks
- inductive learning
- hyperparameters
- multi task
- gaussian process regression
- machine learning algorithms
- relevance vector machine
- decision trees
- image segmentation
- feature selection
- machine learning
- bayesian learning
- cross validation
- base classifiers
- latent variables
- metamodel
- learning experience
- semi supervised
- reinforcement learning
- learning algorithm