2 papers
eess.IV2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods
Remi Laumont, Yiqiu Dong, Martin Skovgaard Andersen
This paper studies two classes of sampling methods for the solution of inverse problems, namely Randomize-Then-Optimize (RTO), which is rooted in sensitivity analysis, and Langevin…
math.ST2024
The Geometry and Well-Posedness of Sparse Regularized Linear Regression
Jasper Marijn Everink, Yiqiu Dong, Martin Skovgaard Andersen
In this work, we study the well-posedness of certain sparse regularized linear regression problems, i.e., the existence, uniqueness and continuity of the solution map with respect…