Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space.
Abhishek ChakrabortyKetan RajawatAlec KoppelPublished in: ACSCC (2021)
Keyphrases
- reproducing kernel hilbert space
- loss function
- kernel methods
- special case
- learning theory
- kernel function
- data dependent
- density estimation
- euclidean space
- domain adaptation
- learning problems
- gaussian process
- distance measure
- input space
- real valued
- kernel matrix
- metric learning
- data sets
- support vector machine
- support vector