Loss Functions for Multiset Prediction.
Sean WelleckZixin YaoYu GaiJialin MaoZheng ZhangKyunghyun ChoPublished in: NeurIPS (2018)
Keyphrases
- loss function
- pairwise
- prediction accuracy
- loss minimization
- support vector
- logistic regression
- risk minimization
- squared error
- learning to rank
- update rules
- boosting framework
- empirical risk
- square loss
- learning models
- convex loss functions
- boosting algorithms
- prediction error
- special case
- hinge loss
- reproducing kernel hilbert space
- learning algorithm