Probability Inequalities for Kernel Embeddings in Sampling without Replacement.
Markus SchneiderPublished in: AISTATS (2016)
Keyphrases
- probability distribution
- sufficient conditions
- monte carlo
- feature space
- hilbert space
- kernel function
- random sample
- random sampling
- dimensionality reduction
- kernel methods
- low dimensional
- support vector
- vector space
- parameter space
- input space
- euclidean space
- gaussian processes
- multiple kernel learning
- sampling methods
- sampled data
- sampling strategy