Uniform convergence may be unable to explain generalization in deep learning.
Vaishnavh NagarajanJ. Zico KolterPublished in: NeurIPS (2019)
Keyphrases
- deep learning
- uniform convergence
- generalization bounds
- sufficient conditions
- learning rate
- statistical learning theory
- machine learning
- learning theory
- unsupervised learning
- risk minimization
- reproducing kernel hilbert space
- data dependent
- generalization error
- weakly supervised
- generalization ability
- vc dimension
- mental models
- sample complexity
- model selection
- loss function
- support vector machine
- active learning
- face recognition
- image segmentation
- feature selection