Konstantin Sonntag

Lehrstuhl für Angewandte Mathematik
Institut für Industriemathematik
Data Science for Engineering
konstantin.sonntag@uni-paderborn.de
ID
56399

10 Publications

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[10]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, SIAM Review 68 (2026) 656–683.
LibreCat | DOI | Download (ext.)
 
[9]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Interactive Pareto navigation for deep multi-task learning
A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.
LibreCat | DOI | Download (ext.)
 
[8]
2025 | Journal Article | LibreCat-ID: 57472 | OA
Inertial dynamics with vanishing Tikhonov regularization for multobjective optimization
R.I. Bot, K. Sonntag, Journal of Mathematical Analysis and Applications (2025).
LibreCat | Files available | Download (ext.) | arXiv
 
[7]
2025 | Dissertation | LibreCat-ID: 62750 | OA
First-order methods and gradient dynamical systems for multiobjective optimization
K. Sonntag, First-Order Methods and Gradient Dynamical Systems for Multiobjective Optimization, Paderborn University, 2025.
LibreCat | DOI | Download (ext.)
 
[6]
2025 | Journal Article | LibreCat-ID: 51159
A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).
LibreCat | Files available | DOI
 
[5]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
LibreCat | DOI | Download (ext.)
 
[4]
2024 | Journal Article | LibreCat-ID: 32447
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
LibreCat | DOI
 
[3]
2024 | Journal Article | LibreCat-ID: 51334 | OA
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, Journal of Optimization Theory and Applications 203 (2024) 455–487.
LibreCat | DOI | Download (ext.) | arXiv
 
[2]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, in: DFG Priority Programme 1962, Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[1]
2024 | Preprint | LibreCat-ID: 67320
New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization
M. Berkemeier, K. Sonntag, S. Peitz, Optimizaton Online (2024).
LibreCat
 
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10 Publications

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[10]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, SIAM Review 68 (2026) 656–683.
LibreCat | DOI | Download (ext.)
 
[9]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Interactive Pareto navigation for deep multi-task learning
A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.
LibreCat | DOI | Download (ext.)
 
[8]
2025 | Journal Article | LibreCat-ID: 57472 | OA
Inertial dynamics with vanishing Tikhonov regularization for multobjective optimization
R.I. Bot, K. Sonntag, Journal of Mathematical Analysis and Applications (2025).
LibreCat | Files available | Download (ext.) | arXiv
 
[7]
2025 | Dissertation | LibreCat-ID: 62750 | OA
First-order methods and gradient dynamical systems for multiobjective optimization
K. Sonntag, First-Order Methods and Gradient Dynamical Systems for Multiobjective Optimization, Paderborn University, 2025.
LibreCat | DOI | Download (ext.)
 
[6]
2025 | Journal Article | LibreCat-ID: 51159
A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).
LibreCat | Files available | DOI
 
[5]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
LibreCat | DOI | Download (ext.)
 
[4]
2024 | Journal Article | LibreCat-ID: 32447
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
LibreCat | DOI
 
[3]
2024 | Journal Article | LibreCat-ID: 51334 | OA
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, Journal of Optimization Theory and Applications 203 (2024) 455–487.
LibreCat | DOI | Download (ext.) | arXiv
 
[2]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, in: DFG Priority Programme 1962, Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[1]
2024 | Preprint | LibreCat-ID: 67320
New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization
M. Berkemeier, K. Sonntag, S. Peitz, Optimizaton Online (2024).
LibreCat
 
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