Tim Hoheisel

Orcid: 0000-0002-0782-6302

According to our database1, Tim Hoheisel authored at least 22 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems.
SIAM J. Math. Data Sci., 2026

2025
Maximum entropy on the mean and the Cramér rate function in statistical estimation and inverse problems: properties, models, and algorithms.
Math. Program., November, 2025

Discrete and Continuous Difference of Submodular Minimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off.
SIAM J. Optim., 2024

2023
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing.
SIAM J. Math. Data Sci., December, 2023

From Perspective Maps to Epigraphical Projections.
Math. Oper. Res., August, 2023

Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization.
J. Optim. Theory Appl., April, 2023

Difference of submodular minimization via DC programming.
Proceedings of the International Conference on Machine Learning, 2023

2022
A study of one-parameter regularization methods for mathematical programs with vanishing constraints.
Optim. Methods Softw., 2022

2021
Blind Deblurring of Barcodes via Kullback-Leibler Divergence.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A Study of Convex Convex-Composite Functions via Infimal Convolution with Applications.
Math. Oper. Res., 2021

2020
Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring.
CoRR, 2020

A principled approach for generating adversarial images under non-smooth dissimilarity metrics.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Variational Properties of Matrix Functions via the Generalized Matrix-Fractional Function.
SIAM J. Optim., 2019

2018
Convex Geometry of the Generalized Matrix-Fractional Function.
SIAM J. Optim., 2018

2015
Matrix Support Functionals for Inverse Problems, Regularization, and Learning.
SIAM J. Optim., 2015

On a Smooth Dual Gap Function for a Class of Player Convex Generalized Nash Equilibrium Problems.
J. Optim. Theory Appl., 2015

2014
On a Smooth Dual Gap Function for a Class of Quasi-Variational Inequalities.
J. Optim. Theory Appl., 2014

2013
Epi-convergent Smoothing with Applications to Convex Composite Functions.
SIAM J. Optim., 2013

Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints.
Math. Program., 2013

A smoothing-regularization approach to mathematical programs with vanishing constraints.
Comput. Optim. Appl., 2013

2012
Convergence of a local regularization approach for mathematical programmes with complementarity or vanishing constraints.
Optim. Methods Softw., 2012


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