Multicalibration as Boosting for Regression.
Ira Globus-HarrisDeclan HarrisonMichael KearnsAaron RothJessica SorrellPublished in: ICML (2023)
Keyphrases
- gradient boosting
- kernel ridge regression
- regression model
- relevance vector machine
- regression problems
- linear regression
- support vector regression
- classification and regression trees
- model selection
- partial least squares
- regression method
- regression analysis
- learning algorithm
- feature selection
- support vector
- locally weighted
- ridge regression
- regression algorithm
- nonlinear regression
- regression function
- ensemble methods
- regression methods
- simple linear
- base learners
- ensemble learning
- weak learners
- feature space
- neural network
- high dimensional
- decision trees
- weak classifiers
- tree induction
- kernel methods
- polynomial regression
- aggregating algorithm