Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks.
Yuan CaoQuanquan GuPublished in: NeurIPS (2019)
Keyphrases
- stochastic gradient descent
- neural network
- least squares
- matrix factorization
- loss function
- support vector machine
- data dependent
- pattern recognition
- random forests
- generalization ability
- artificial neural networks
- multiple kernel learning
- model selection
- back propagation
- weight vector
- prediction accuracy
- learning problems
- machine learning algorithms
- upper bound
- learning algorithm
- machine learning