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stat.ML2024
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems
Matthew King-Roskamp, Rustum Choksi, Tim Hoheisel
We establish the theoretical framework for implementing the maximumn entropy on the mean (MEM) method for linear inverse problems in the setting of approximate (data-driven) priors…
math.OC2024
Lipschitz stability of least-squares problems regularized by functions with -cone reducible conjugates
Ying Cui, Tim Hoheisel, Tran T. A. Nghia +1
In this paper, we study Lipschitz continuity of the solution mappings of regularized least-squares problems for which the convex regularizers have (Fenchel) conjugates that are $\m…
math.OC2024
On Continuous Terminal Embeddings of Sets of Positive Reach
Simone Brugiapaglia, Rafael Chiclana, Tim Hoheisel +1
In this paper we prove the existence of Hölder continuous terminal embeddings of any desired into with $m=\mathcal{O}(\varepsilon^{-2}ω(…