Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.
Gintare Karolina DziugaiteDaniel M. RoyPublished in: UAI (2017)
Keyphrases
- neural network
- generalization bounds
- training data
- data dependent
- training process
- learning theory
- pattern recognition
- model selection
- generalization ability
- learning algorithm
- vc dimension
- training set
- ranking algorithm
- maximum likelihood
- data sets
- labeled data
- fuzzy logic
- support vector machine
- artificial neural networks
- decision trees
- unsupervised learning
- supervised learning
- semi supervised
- generalization error
- linear classifiers
- sample complexity
- learning machines
- kernel machines
- machine learning