MS26B - Computational and stochastic methods in inverse problems

Organized by: Jana de Wiljes, Sebastian Reich

Uri Ascher
A probabilistic stopping rule for randomized algorithms for inverse problems

Adrian Sandu
Reduced Dimension and Sampling Approaches to Variational Inference

Yuan Cheng
A multi-grid approach to localization in ensemble Kalman filters

Walter Acevedo
Non-Gaussian data assimilation via a localized hybrid particle-ensemble Kalman filter