Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers.
Alexandre Lemire PaquinBrahim Chaib-draaPhilippe GiguèrePublished in: Neural Networks (2023)
Keyphrases
- stability analysis
- linear classifiers
- stochastic gradient descent
- neural network
- least squares
- loss function
- multi class
- step size
- hyperplane
- nonlinear systems
- support vector machine
- weight vector
- pattern recognition
- svm classifier
- generalization error
- hyperparameters
- genetic algorithm
- multiple kernel learning
- principal components
- model selection
- support vector
- machine learning