Multicalibration as Boosting for Regression.
Ira Globus-HarrisDeclan HarrisonMichael KearnsAaron RothJessica SorrellPublished in: CoRR (2023)
Keyphrases
- gradient boosting
- kernel ridge regression
- relevance vector machine
- regression model
- base learners
- ensemble methods
- linear regression
- locally weighted
- loss function
- ensemble learning
- polynomial regression
- regression algorithm
- model selection
- machine learning
- classification and regression trees
- gaussian processes
- regression analysis
- support vector machine
- artificial neural networks
- regression problems
- support vector regression
- base classifiers
- weak classifiers
- partial least squares
- benchmark datasets
- gaussian process regression
- data sets
- ridge regression
- support vector
- training data
- tree induction
- learning algorithm
- neural network