Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Wanli ShiBin GuXiang LiXiang GengHeng HuangPublished in: IJCAI (2019)
Keyphrases
- semi supervised
- stochastic optimization
- concave convex procedure
- semi supervised learning
- optimization algorithm
- global optimization
- real world
- nonlinear optimization
- stochastic programming
- labeled data
- optimization problems
- model selection
- supervised learning
- sequential quadratic programming
- stochastic search
- small scale
- optimization method
- monte carlo
- error rate
- multi view
- neural network
- unlabeled data
- optimization process
- constrained optimization
- active learning
- manifold learning
- semi supervised classification
- decision trees
- multi class
- text classification
- low dimensional
- sufficient conditions