Loss Functions for Multiset Prediction.
Sean WelleckZixin YaoYu GaiJialin MaoZheng ZhangKyunghyun ChoPublished in: CoRR (2017)
Keyphrases
- loss function
- pairwise
- logistic regression
- loss minimization
- prediction accuracy
- support vector
- learning to rank
- squared error
- risk minimization
- prediction error
- empirical risk
- reproducing kernel hilbert space
- boosting framework
- learning models
- convex loss functions
- hinge loss
- bregman divergences
- decision trees
- machine learning