On Generalization Bounds for Deep Networks Based on Loss Surface Implicit Regularization.
Masaaki ImaizumiJohannes Schmidt-HieberPublished in: IEEE Trans. Inf. Theory (2023)
Keyphrases
- generalization bounds
- data dependent
- empirical risk minimization
- learning theory
- generalization ability
- statistical learning theory
- uniform convergence
- model selection
- linear classifiers
- kernel machines
- learning problems
- reproducing kernel hilbert space
- ranking functions
- real valued
- vc dimension
- ranking algorithm
- theoretical analysis
- reinforcement learning
- active learning
- artificial neural networks