Generalization Bounds for Neural Networks through Tensor Factorization.
Majid JanzaminHanie SedghiAnima AnandkumarPublished in: CoRR (2015)
Keyphrases
- generalization bounds
- tensor factorization
- neural network
- data dependent
- learning theory
- generalization ability
- matrix factorization
- ranking algorithm
- collaborative filtering
- model selection
- negative matrix factorization
- pattern recognition
- learning problems
- singular value decomposition
- gaussian processes
- ranking functions
- back propagation
- recommender systems
- learning algorithm
- cross validation
- supervised learning
- support vector
- feature extraction
- clustering algorithm