Norm-based Generalization Bounds for Compositionally Sparse Neural Networks.
Tomer GalantiMengjia XuLiane GalantiTomaso A. PoggioPublished in: CoRR (2023)
Keyphrases
- generalization bounds
- multinomial logistic regression
- neural network
- data dependent
- generalization ability
- learning theory
- multi class
- artificial neural networks
- vc dimension
- model selection
- learning problems
- ranking algorithm
- statistical learning theory
- pattern recognition
- linear classifiers
- high dimensional
- back propagation
- fuzzy logic
- bp neural network
- sparse representation
- neural network model
- ranking functions
- real valued
- kernel machines
- learning machines
- machine learning
- support vector machine svm
- objective function
- feature selection
- training process
- lower bound
- learning algorithm
- cross validation