On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.
Bangti JinZehui ZhouJun ZouPublished in: CoRR (2019)
Keyphrases
- stochastic gradient descent
- step size
- least squares
- convergence rate
- loss function
- matrix factorization
- convergence speed
- regularization parameter
- weight vector
- random forests
- multiple kernel learning
- learning rate
- support vector machine
- importance sampling
- online algorithms
- cost function
- objective function
- semi supervised
- learning algorithm
- feature selection