A Guide to Stochastic Optimisation for Large-Scale Inverse Problems

Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang +1

Stochastic optimisation algorithms are the de facto standard for machine learning with large amounts of data. Handling only a subset of available data in each optimisation step dra…