Reproducing kernel Hilbert spaces in the mean field limit.
Christian FiedlerMichael HertyMichael RomChiara SegalaSebastian TrimpePublished in: CoRR (2023)
Keyphrases
- reproducing kernel hilbert space
- reproducing kernel
- loss function
- gaussian kernels
- kernel methods
- uniform convergence
- data dependent
- special case
- euclidean space
- kernel function
- learning theory
- real valued
- markov random field
- gaussian process
- closed form
- learning problems
- representer theorem
- density estimation
- input space
- domain adaptation
- hilbert space
- kernel matrix
- distance measure
- bayesian inference
- linear model
- high dimensional
- support vector machine
- em algorithm
- metric learning
- learning algorithm
- learning tasks
- bayesian framework