A theory of representation learning gives a deep generalisation of kernel methods.
Adam X. YangMaxime RobeynsEdward MilsomBen AnsonNandi SchootsLaurence AitchisonPublished in: ICML (2023)
Keyphrases
- kernel methods
- learning problems
- learning tasks
- learning algorithm
- reinforcement learning
- supervised learning
- kernel learning
- support vector
- feature space
- active learning
- data mining
- multiple kernel
- linear combination
- kernel ridge regression
- positive semi definite
- multiple kernel learning
- kernel function
- special case
- machine learning