On the lifting of deterministic convergence rates for inverse problems with stochastic noise

Daniel Gerth, Andreas Hofinger, Ronny Ramlau

Both for the theoretical and practical treatment of Inverse Problems, the modeling of the noise is a crucial part. One either models the measurement via a deterministic worst-case…