Additive Approximations in High Dimensional Nonparametric Regression via the SALSA.
Kirthevasan KandasamyYaoliang YuPublished in: CoRR (2016)
Keyphrases
- nonparametric regression
- high dimensional
- additive models
- pointwise
- dimensionality reduction
- low dimensional
- variable selection
- high dimensional data
- similarity search
- sparse data
- high dimensionality
- nearest neighbor
- gene expression data
- noisy data
- ranking algorithm
- microarray data
- closed form
- approximation methods
- data points
- feature space
- parameter space
- kernel function
- multi dimensional
- high dimension
- neural network
- metric space
- graphical models
- high dimensional spaces