The All-or-Nothing Phenomenon in Sparse Linear Regression.
Galen ReevesJiaming XuIlias ZadikPublished in: CoRR (2019)
Keyphrases
- linear regression
- generalized linear models
- sparse regression
- least squares
- regression problems
- regression methods
- ridge regression
- kernel regression
- regression method
- linear regression model
- high dimensional
- regression trees
- nonlinear regression
- locally weighted
- linear models
- training data
- principal component analysis