Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach Spaces

Bangti Jin, Zeljko Kereta, Yuxin Xia

Stochastic gradient descent (SGD) and its variants are widely used and highly effective optimization methods in machine learning, especially for neural network training. By using a…