Nonparametric estimation of continuous DPPs with kernel methods.
Michaël FanuelRémi BardenetPublished in: NeurIPS (2021)
Keyphrases
- kernel methods
- nonparametric estimation
- point processes
- kernel function
- random matrix theory
- support vector
- support vector machine
- machine learning
- feature space
- kernel matrix
- kernel matrices
- multiple kernel learning
- multiple kernel
- kernel ridge regression
- reproducing kernel hilbert space
- monte carlo
- probability density
- kernel learning
- closed form
- dimensionality reduction
- kernel based clustering