Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression.
Gabriel ArpinoRamji VenkataramananPublished in: CoRR (2023)
Keyphrases
- linear regression
- least squares
- sparse regression
- generalized linear models
- kernel density estimators
- multivariate regression
- regression methods
- regression problems
- nonlinear regression
- statistical models
- linear models
- ridge regression
- statistical analysis
- kernel regression
- linear regression model
- locally weighted
- regression trees
- high dimensional
- loss bounds
- logistic regression
- regression model
- knn