Tilting the playing field: Dynamical loss functions for machine learning.
Miguel Ruiz-GarciaGe ZhangSamuel S. SchoenholzAndrea J. LiuPublished in: CoRR (2021)
Keyphrases
- loss function
- machine learning
- pairwise
- support vector
- logistic regression
- learning models
- risk minimization
- loss minimization
- squared error
- empirical risk
- learning to rank
- machine learning algorithms
- feature selection
- reproducing kernel hilbert space
- learning algorithm
- data mining
- convex loss functions
- learning to rank algorithms
- hinge loss
- support vector machine
- machine learning methods
- supervised learning
- boosting algorithms
- reinforcement learning
- update rules
- text classification
- semi supervised learning
- multi class
- text mining
- active learning
- learning tasks