On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces.
Bangti JinZeljko KeretaPublished in: SIAM J. Imaging Sci. (2023)
Keyphrases
- stochastic gradient descent
- step size
- least squares
- loss function
- convergence rate
- matrix factorization
- convergence speed
- weight vector
- online algorithms
- multiple kernel learning
- regularization parameter
- total least squares
- learning rate
- collaborative filtering
- image reconstruction
- support vector machine
- multiscale
- computer vision
- machine learning