Near-optimal inference in adaptive linear regression.
Koulik KhamaruYash DeshpandeLester MackeyMartin J. WainwrightPublished in: CoRR (2021)
Keyphrases
- linear regression
- least squares
- regression methods
- linear predictors
- regression problems
- ridge regression
- nonlinear regression
- kernel regression
- bayesian networks
- linear regression model
- linear models
- kernel density estimators
- multivariate regression
- locally weighted
- regression method
- high dimensional
- exact inference
- regression trees
- loss function
- generalized linear models
- support vector
- computer vision