On the Universality of the Logistic Loss Function.
Amichai PainskyGregory W. WornellPublished in: ISIT (2018)
Keyphrases
- loss function
- logistic regression
- pairwise
- support vector
- empirical risk
- risk minimization
- convex loss functions
- learning to rank
- loss minimization
- reproducing kernel hilbert space
- regularization term
- hinge loss
- boosting framework
- gradient boosting
- stochastic gradient descent
- linear support vector machines
- decision trees