6 papers
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}υ
Augmented Lagrangian methods for fully convex composite optimization
Alberto De Marchi, Tim Hoheisel, Patrick Mehlitz
This paper is concerned with augmented Lagrangian methods for the treatment of fully convex composite optimization problems. We extend the classical relationship between augmented…
Stability results for regularized least-squares problems via generalized Hessian expressions and monotone generalized equations
Leo Smulansky, Tim Hoheisel, Tran T. A. Nghia
We study perturbation and stability properties of solution mappings associated with convex regularized least-squares problems. We first establish an implicit function theorem for g…
A Scale-Shape Dual Newton Method for Entropic Least Squares
Nicholas Barnfield, James V. Burke, Michael P. Friedlander +1
We give a damped inexact Newton method for entropy-regularized least-squares on the nonnegative orthant that converges globally at a linear rate with iteration com…
Discrete and Continuous Difference of Submodular Minimization
George Orfanides, Tim Hoheisel, Marwa El Halabi
Submodular functions, defined on continuous or discrete domains, arise in numerous applications. We study the minimization of the difference of two submodular (DS) functions, over…
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…