Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon.
Alexander RakhlinXiyu ZhaiPublished in: COLT (2019)
Keyphrases
- high dimensional
- kernel function
- feature space
- low dimensional
- multi dimensional
- similarity search
- dimensionality reduction
- image interpolation
- sparse data
- data points
- nearest neighbor
- variable selection
- high dimensionality
- high dimensional problems
- high dimensional data
- interpolation method
- high dimensional datasets
- high dimension
- high dimensional feature space
- machine learning
- metric space
- parameter space
- kernel methods
- support vector
- data sets
- consistency checking
- additive models
- input space
- manifold learning
- gene expression data
- logistic regression
- image classification
- motion estimation
- feature vectors
- feature extraction