Local SGD in Overparameterized Linear Regression.
Mike NguyenCharly KirstNicole MückePublished in: CoRR (2022)
Keyphrases
- linear regression
- least squares
- stochastic gradient descent
- regression problems
- locally weighted
- regression methods
- linear regression model
- nonlinear regression
- ridge regression
- generalized linear models
- regression method
- multivariate regression
- predictor variables
- linear models
- regression model
- kernel regression
- regression trees
- support vector machine