Distributed non-convex regularization for generalized linear regression.
Xiaofei SunJingyu ZhangZhongmo LiuKemal PolatYujie GaiWenliang GaoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- linear regression
- least squares
- regression problems
- regression methods
- square loss
- ridge regression
- linear regression model
- locally weighted
- risk minimization
- hinge loss
- linear models
- nonlinear regression
- kernel density estimators
- multivariate regression
- kernel regression
- convex functions
- regression method
- convex optimization
- loss function
- loss bounds
- objective function
- feature selection
- machine learning