Convergence analysis of domain decomposition based time integrators for degenerate parabolic equations. - Monika Eisenmann; Eskil Hansen (Numerische Mathematik, 2018)

Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations. - Monika Eisenmann; Mihály Kovács; Raphael Kruse; Stig Larsson 001 (CoRR, 2019)

On a Randomized Backward Euler Method for Nonlinear Evolution Equations with Time-Irregular Coefficients. - Monika Eisenmann; Mihály Kovács; Raphael Kruse; Stig Larsson 001 (Found. Comput. Math., 2019)

Sub-linear convergence of a tamed stochastic gradient descent method in Hilbert space. - Monika Eisenmann; Tony Stillfjord (CoRR, 2021)

Sub-linear convergence of a stochastic proximal iteration method in Hilbert space. - Monika Eisenmann; Tony Stillfjord; Måns Williamson (Comput. Optim. Appl., 2022)

Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space. - Monika Eisenmann; Tony Stillfjord (SIAM J. Optim., 2022)

Error bounds for full space-time splitting discretizations of semi-linear SPDEs - with a focus on dG domain decompositions. - Monika Eisenmann; Eskil Hansen; Marvin Jans (CoRR, 2024)

A Domain Decomposition Method for Stochastic Evolution Equations. - Evelyn Buckwar; Ana Djurdjevac; Monika Eisenmann (SIAM J. Numer. Anal., 2024)

A randomized operator splitting scheme inspired by stochastic optimization methods. - Monika Eisenmann; Tony Stillfjord (Numerische Mathematik, 2024)