Additive Approximations in High Dimensional Nonparametric Regression via the SALSA.
Kirthevasan KandasamyYaoliang YuPublished in: ICML (2016)
Keyphrases
- nonparametric regression
- high dimensional
- additive models
- pointwise
- low dimensional
- sparse data
- similarity search
- ranking algorithm
- dimensionality reduction
- high dimensional data
- high dimensionality
- nearest neighbor
- high dimensional spaces
- data points
- high dimensional problems
- feature space
- variable selection
- face recognition
- parameter space
- metric space
- manifold learning
- additive model
- gene expression data
- microarray data
- efficient computation
- probabilistic model
- state space
- approximation methods
- markov chain
- kernel function
- closed form
- input space
- precision and recall
- noisy data