Regularization for Uplift Regression.
Krzysztof RudasSzymon JaroszewiczPublished in: ECML/PKDD (1) (2023)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- regression model
- square loss
- gradient boosting
- linear regression
- model selection
- regularization parameter
- gaussian processes
- aggregating algorithm
- simple linear
- support vector regression
- regression problems
- partial least squares
- kernel methods
- parameter selection
- polynomial regression
- regression algorithm
- locally weighted
- support vector
- kernel function
- loss function
- empirical risk minimization
- regularization methods
- regression function
- regression methods
- image denoising
- kernel matrix
- regularization term