Scalable holistic linear regression.

Dimitris Bertsimas Michael Lingzhi Li

Published in: Oper. Res. Lett. (2020)

Keyphrases

linear regression
least squares
regression problems
regression methods
linear regression model
ridge regression
linear models
locally weighted
nonlinear regression
regression method
kernel regression
generalized linear models
regression trees
kernel density estimators
machine learning
loss bounds
bayesian networks