Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Wanli ShiBin GuXiang LiXiang GengHeng HuangPublished in: CoRR (2019)
Keyphrases
- semi supervised
- stochastic optimization
- stochastic programming
- global optimization
- stochastic search
- optimization algorithm
- nonlinear optimization
- semi supervised learning
- optimal control problems
- data sets
- labeled data
- real world
- receiver operating characteristic
- model selection
- multi view
- feature selection
- kernel machines
- semi supervised classification
- logistic regression
- co training
- small scale
- unlabeled data
- supervised learning
- classification accuracy
- active learning
- optimization process
- roc curve
- manifold learning
- error rate
- optimization problems
- training data
- concave convex procedure