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Tim Hoheisel
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2020 – today
- 2024
- [j16]Aaron Berk, Simone Brugiapaglia
, Tim Hoheisel:
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off. SIAM J. Optim. 34(3): 2609-2637 (2024) - 2023
- [j15]Tim Hoheisel, Elliot Paquette:
Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization. J. Optim. Theory Appl. 197(1): 252-276 (2023) - [j14]Michael P. Friedlander
From Perspective Maps to Epigraphical Projections. Math. Oper. Res. 48(3): 1711-1740 (2023) - [j13]Aaron Berk
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing. SIAM J. Math. Data Sci. 5(4): 1102-1129 (2023) - [c2]Marwa El Halabi, George Orfanides, Tim Hoheisel:
Difference of submodular minimization via DC programming. ICML 2023: 9172-9201 - [i7]Marwa El Halabi, George Orfanides, Tim Hoheisel:
Difference of Submodular Minimization via DC Programming. CoRR abs/2305.11046 (2023) - 2022
- [j12]Tim Hoheisel, Blanca Pablos, Aram-Alexandre Pooladian, Alexandra Schwartz
A study of one-parameter regularization methods for mathematical programs with vanishing constraints. Optim. Methods Softw. 37(2): 503-545 (2022) - [i6]Aaron Berk, Simone Brugiapaglia, Tim Hoheisel:
LASSO reloaded: a variational analysis perspective with applications to compressed sensing. CoRR abs/2205.06872 (2022) - [i5]Yakov Vaisbourd, Rustum Choksi, Ariel Goodwin, Tim Hoheisel, Carola-Bibiane Schönlieb:
Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms. CoRR abs/2211.05205 (2022) - 2021
- [j11]James V. Burke
A Study of Convex Convex-Composite Functions via Infimal Convolution with Applications. Math. Oper. Res. 46(4): 1324-1348 (2021) - [j10]Gabriel Rioux, Christopher Scarvelis
Blind Deblurring of Barcodes via Kullback-Leibler Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 77-88 (2021) - [i4]Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel:
From perspective maps to epigraphical projections. CoRR abs/2102.06809 (2021) - 2020
- [c1]Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. AISTATS 2020: 1442-1452 - [i3]Gabriel Rioux, Rustum Choksi, Tim Hoheisel, Christopher Scarvelis:
Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring. CoRR abs/2002.10434 (2020)
2010 – 2019
- 2019
- [j9]James V. Burke, Yuan Gao, Tim Hoheisel:
Variational Properties of Matrix Functions via the Generalized Matrix-Fractional Function. SIAM J. Optim. 29(3): 1958-1987 (2019) - [i2]Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. CoRR abs/1908.01667 (2019) - 2018
- [j8]James V. Burke, Yuan Gao, Tim Hoheisel:
Convex Geometry of the Generalized Matrix-Fractional Function. SIAM J. Optim. 28(3): 2189-2200 (2018) - 2017
- [i1]James V. Burke, Yuan Gao, Tim Hoheisel:
Convex Geometry of the Generalized Matrix-Fractional Function. CoRR abs/1703.01363 (2017) - 2015
- [j7]Nadja Harms, Tim Hoheisel, Christian Kanzow:
On a Smooth Dual Gap Function for a Class of Player Convex Generalized Nash Equilibrium Problems. J. Optim. Theory Appl. 166(2): 659-685 (2015) - [j6]James V. Burke, Tim Hoheisel:
Matrix Support Functionals for Inverse Problems, Regularization, and Learning. SIAM J. Optim. 25(2): 1135-1159 (2015) - 2014
- [j5]Nadja Harms, Tim Hoheisel, Christian Kanzow:
On a Smooth Dual Gap Function for a Class of Quasi-Variational Inequalities. J. Optim. Theory Appl. 163(2): 413-438 (2014) - 2013
- [j4]Wolfgang Achtziger, Tim Hoheisel, Christian Kanzow:
A smoothing-regularization approach to mathematical programs with vanishing constraints. Comput. Optim. Appl. 55(3): 733-767 (2013) - [j3]Tim Hoheisel, Christian Kanzow, Alexandra Schwartz
Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints. Math. Program. 137(1-2): 257-288 (2013) - [j2]James V. Burke, Tim Hoheisel:
Epi-convergent Smoothing with Applications to Convex Composite Functions. SIAM J. Optim. 23(3): 1457-1479 (2013) - 2012
- [j1]Tim Hoheisel, Christian Kanzow, Alexandra Schwartz
Convergence of a local regularization approach for mathematical programmes with complementarity or vanishing constraints. Optim. Methods Softw. 27(3): 483-512 (2012)
Coauthor Index
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