Dropout Training, Data-dependent Regularization, and Generalization Bounds.
Wenlong MouYuchen ZhouJun GaoLiwei WangPublished in: ICML (2018)
Keyphrases
- generalization bounds
- data dependent
- training data
- empirical risk minimization
- learning theory
- generalization ability
- kernel machines
- statistical learning theory
- learning algorithm
- linear classifiers
- vc dimension
- ranking algorithm
- uniform convergence
- supervised learning
- model selection
- training set
- decision trees
- support vector machine
- learning problems
- generalization error
- data sets
- reproducing kernel hilbert space
- machine learning
- training process
- ranking functions
- training samples
- semi supervised learning
- classification accuracy
- training examples
- labeled data
- risk minimization
- ensemble learning
- cross validation
- class labels
- unlabeled data
- pairwise
- support vector