On Generalization Bounds of a Family of Recurrent Neural Networks.
Minshuo ChenXingguo LiTuo ZhaoPublished in: AISTATS (2020)
Keyphrases
- recurrent neural networks
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- linear classifiers
- feed forward
- neural network
- vc dimension
- ranking algorithm
- statistical learning theory
- learning problems
- echo state networks
- kernel machines
- special case
- hidden layer
- artificial neural networks
- ranking functions
- ensemble learning
- cross validation
- learning machines
- neural network model
- active learning
- support vector