Distribution Regression with Sliced Wasserstein Kernels.
Dimitri MeunierMassimiliano PontilCarlo CilibertoPublished in: CoRR (2022)
Keyphrases
- support vector machines for classification
- support vector
- reproducing kernel hilbert space
- probability distribution
- gaussian processes
- regression model
- random variables
- linear regression
- high dimensional
- polynomial kernels
- regression algorithm
- spatial distribution
- kernel methods
- model selection
- regression problems
- regression analysis
- simple linear
- probability density function
- covariance function
- expected error
- polynomial regression