Stochastic gradient descent for linear systems with sequential matrix entry accumulation.
Samrat MukhopadhyayPublished in: Signal Process. (2020)
Keyphrases
- linear systems
- stochastic gradient descent
- coefficient matrix
- loss function
- matrix factorization
- least squares
- sufficient conditions
- dynamical systems
- step size
- weight vector
- sparse linear systems
- random forests
- low rank
- support vector machine
- singular value decomposition
- negative matrix factorization
- online algorithms
- multiple kernel learning
- regularization parameter
- cost function
- feature selection
- neural network
- learning rate
- lower bound
- importance sampling
- support vector
- machine learning