Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes.
Andrew Y. K. FoongWessel BruinsmaJonathan GordonYann DuboisJames RequeimaRichard E. TurnerPublished in: NeurIPS (2020)
Keyphrases
- stochastic process
- meta learning
- stochastic processes
- learning tasks
- inductive learning
- stochastic model
- probability distribution
- random fields
- model selection
- non stationary
- prediction accuracy
- machine learning algorithms
- markov chain
- decision trees
- feature selection
- machine learning
- base classifiers
- random variables
- data mining
- transfer learning
- metamodel
- autoregressive
- diffusion process
- knowledge base