Learning rates for kernel-based expectile regression.
Muhammad FarooqIngo SteinwartPublished in: Mach. Learn. (2019)
Keyphrases
- learning rate
- convergence rate
- support vector
- learning algorithm
- regression model
- covering numbers
- gaussian kernels
- kernel methods
- reproducing kernel hilbert space
- model selection
- convergence speed
- uniform convergence
- linear regression
- support vector regression
- kernel matrix
- vc dimension
- learning tasks
- convergence theorem