A Note on Optimizing Distributions using Kernel Mean Embeddings.
Boris MuzellecFrancis R. BachAlessandro RudiPublished in: CoRR (2021)
Keyphrases
- hilbert space
- kernel regression
- kernel function
- kernel methods
- manifold learning
- sparse kernel
- gaussian processes
- vector space
- random variables
- dimensionality reduction
- high dimensional data
- kernel space
- feature space
- power law
- kernel matrix
- probability distribution
- euclidean space
- gaussian distribution
- neural network
- component analysis
- kernel pca
- kernel machines
- pairwise
- shape analysis
- density estimates
- loss function
- learning algorithm