L^1 data fitting for Inverse Problems yields optimal rates of convergence in case of discretized white Gaussian noise

Kristina Bätz, Frank Werner

It is well-known in practice, that L^1 data fitting leads to improved robustness compared to standard L^2 data fitting. However, it is unclear whether resulting algorithms will per…