Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction.
Wenlin ChenAustin TrippJosé Miguel Hernández-LobatoPublished in: CoRR (2022)
Keyphrases
- gaussian processes
- meta learning
- gaussian process models
- model selection
- gaussian process
- hyperparameters
- learning tasks
- gaussian process regression
- inductive learning
- multi task
- covariance function
- prediction accuracy
- machine learning algorithms
- data mining
- regression model
- learning problems
- metamodel
- machine learning
- kernel methods
- feature space
- feature selection