When Do Neural Networks Outperform Kernel Methods?
Behrooz GhorbaniSong MeiTheodor MisiakiewiczAndrea MontanariPublished in: CoRR (2020)
Keyphrases
- kernel methods
- neural network
- kernel function
- learning problems
- feature space
- kernel matrix
- support vector
- support vector machine
- reproducing kernel hilbert space
- machine learning
- similarity function
- kernel pca
- back propagation
- learning tasks
- multiple kernel learning
- artificial neural networks
- kernel trick
- kernel matrices
- high dimensional feature space
- neural network model
- learning frameworks
- kernel ridge regression
- kernel based clustering
- positive semidefinite
- multiple kernel
- kernel principal component analysis
- kernel learning
- support vector regression
- learning algorithm