Tim Hoheisel

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Topics

Piecewise Affine

Inverse Problems

Nuclear Norm Minimization

Top Venues

J. Optim. Theory Appl.

Math. Oper. Res.

Publications

Aaron Berk, Simone Brugiapaglia, Tim Hoheisel
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off. SIAM J. Optim. 34 (3) (2024)
Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel
From Perspective Maps to Epigraphical Projections. Math. Oper. Res. 48 (3) (2023)
Marwa El Halabi, George Orfanides, Tim Hoheisel
Difference of submodular minimization via DC programming. ICML (2023)
Tim Hoheisel, Elliot Paquette
Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization. J. Optim. Theory Appl. 197 (1) (2023)
Marwa El Halabi, George Orfanides, Tim Hoheisel
Difference of Submodular Minimization via DC Programming. CoRR (2023)
Aaron Berk, Simone Brugiapaglia, Tim Hoheisel
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing. SIAM J. Math. Data Sci. 5 (4) (2023)
Aaron Berk, Simone Brugiapaglia, Tim Hoheisel
LASSO reloaded: a variational analysis perspective with applications to compressed sensing. CoRR (2022)
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 (2022)
Tim Hoheisel, Blanca Pablos, Aram-Alexandre Pooladian, Alexandra Schwartz, Luke Steverango
A study of one-parameter regularization methods for mathematical programs with vanishing constraints. Optim. Methods Softw. 37 (2) (2022)
Gabriel Rioux, Christopher Scarvelis, Rustum Choksi, Tim Hoheisel, Pierre Maréchal
Blind Deblurring of Barcodes via Kullback-Leibler Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
James V. Burke, Tim Hoheisel, Quang V. Nguyen
A Study of Convex Convex-Composite Functions via Infimal Convolution with Applications. Math. Oper. Res. 46 (4) (2021)
Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel
From perspective maps to epigraphical projections. CoRR (2021)
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. AISTATS (2020)
Gabriel Rioux, Rustum Choksi, Tim Hoheisel, Christopher Scarvelis
Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring. CoRR (2020)
James V. Burke, Yuan Gao, Tim Hoheisel
Variational Properties of Matrix Functions via the Generalized Matrix-Fractional Function. SIAM J. Optim. 29 (3) (2019)
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. CoRR (2019)
James V. Burke, Yuan Gao, Tim Hoheisel
Convex Geometry of the Generalized Matrix-Fractional Function. SIAM J. Optim. 28 (3) (2018)
James V. Burke, Yuan Gao, Tim Hoheisel
Convex Geometry of the Generalized Matrix-Fractional Function. CoRR (2017)
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) (2015)
James V. Burke, Tim Hoheisel
Matrix Support Functionals for Inverse Problems, Regularization, and Learning. SIAM J. Optim. 25 (2) (2015)
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) (2014)
Wolfgang Achtziger, Tim Hoheisel, Christian Kanzow
A smoothing-regularization approach to mathematical programs with vanishing constraints. Comput. Optim. Appl. 55 (3) (2013)
James V. Burke, Tim Hoheisel
Epi-convergent Smoothing with Applications to Convex Composite Functions. SIAM J. Optim. 23 (3) (2013)
Tim Hoheisel, Christian Kanzow, Alexandra Schwartz
Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints. Math. Program. 137 (1-2) (2013)
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) (2012)