The promises and pitfalls of deep kernel learning.
Sebastian W. OberCarl E. RasmussenMark van der WilkPublished in: UAI (2021)
Keyphrases
- kernel learning
- kernel function
- multiple kernel learning
- kernel matrix
- support vector regression
- semi supervised
- learning tasks
- kernel methods
- semidefinite program
- metric learning
- dimensionality reduction
- distance metric
- pairwise constraints
- support vector
- feature space
- input space
- labeled data
- support vector machine
- learning algorithm