Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification.
Oh-Ran KwonHui ZouPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- loss function
- hinge loss
- support vector
- pairwise
- risk minimization
- boosting algorithms
- pairwise constraints
- multi class
- classification accuracy
- square loss
- logistic regression
- empirical risk
- feature extraction
- regularization term
- convex loss functions
- bayes rule
- potential functions
- binary classification
- image classification
- support vector machine
- decision trees
- classification algorithm
- feature space
- pattern classification
- convex optimization
- text classification
- solution path
- feature vectors
- reproducing kernel hilbert space
- feature set
- feature selection
- training set
- line search
- active learning
- supervised learning
- benchmark datasets
- decision boundary
- learning to rank
- precision and recall
- support vector machine svm
- machine learning algorithms