Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches.
Tamim El AhmadPierre LaforgueFlorence d'Alché-BucPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- kernel methods
- kernel function
- learning problems
- support vector
- feature space
- machine learning
- kernel matrix
- learning tasks
- support vector machine
- multiple kernel learning
- reproducing kernel hilbert space
- similarity function
- kernel matrices
- high dimensional feature space
- kernel trick
- kernel ridge regression
- kernel fisher discriminant analysis
- kernel based clustering
- kernel pca
- special case
- kernel learning
- graph kernels
- multiple kernel