Effective Regularization Through Loss-Function Metalearning.
Santiago GonzalezRisto MiikkulainenPublished in: CoRR (2020)
Keyphrases
- loss function
- regularization term
- reproducing kernel hilbert space
- risk minimization
- pairwise
- convex loss functions
- hinge loss
- gradient boosting
- solution path
- learning to rank
- stochastic gradient descent
- logistic regression
- information retrieval
- boosting framework
- support vector
- bregman divergences
- empirical risk
- square loss
- similarity measure