Monika Eisenmann

Sub-linear convergence of a stochastic proximal iteration method in Hilbert space

2020 · arXiv (Cornell University)

We consider a stochastic version of the proximal point algorithm for optimization problems posed on a Hilbert space. A typical application of this is supervised learning. While the method is not new, it has not …