Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression.
Shiva Prasad KasiviswanathanMark RudelsonPublished in: COLT (2018)
Keyphrases
- linear regression
- least squares
- generalized linear models
- sparse regression
- regression problems
- regression methods
- nonlinear regression
- locally weighted
- ridge regression
- linear regression model
- high dimensional
- kernel regression
- linear models
- regression trees
- linear model
- optical flow
- data streams
- multivariate regression
- regression method