On shrinkage estimation for balanced loss functions.
Éric MarchandWilliam E. StrawdermanPublished in: J. Multivar. Anal. (2020)
Keyphrases
- loss function
- pairwise
- support vector
- loss minimization
- squared error
- logistic regression
- learning to rank
- hinge loss
- risk minimization
- empirical risk
- convex loss functions
- information retrieval
- reproducing kernel hilbert space
- boosting algorithms
- denoising
- image denoising
- markov random field
- learning to rank algorithms
- image segmentation