Statistical inverse problems and gradient flow structures in the space of probability measures

Statistical inverse problems and gradient flow structures in the space of probability measures

Date: Wed. December 02, 2020 Organized by: Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg Title: Statistical inverse problems and gradient flow structures in the space of probability measures Speaker: Prof. Dr. Sebastian Reich Affiliation: Universität Potsdam (Germany) Abstract. Statistical inverse problems lead to complex optimisation and/or Monte Carlo sampling problems. Gradient descent and…