Dr. Sebastian Banert

Courses (Selection)complete list

1. Mathematik 1b (Sommersemester 2025)
2. Mathematik 1a für Wirtschaftsingenieure (Wintersemester 2024/2025)
3. Selected Topics in Convex Optimization (Sommersemester 2024)

Theses (Selection)complete list

1. Stochastic gradient descent with steering (Oskar Bircks)

Publications (Selection)complete list

1. M. Upadhyaya, S. Banert, A. B. Taylor, P. Giselsson.
   Automated tight Lyapunov analysis for first-order methods.
   Mathematical Programming, 209:133-170, 2025.

   DOI: 10.1007/s10107-024-02061-8
   online at: https://arxiv.org/abs/2302.06713

2. S. Banert, P. Giselsson, M. Upadhyaya.
   The Chambolle-Pock method converges weakly with $\theta>1/2$ and $\tau \sigma \|L\|^2 < 4 /(1+2 \theta)$.
   Optimization Letters, , Springer Verlag, 2025.

   DOI: 10.1007/s11590-025-02250-0

3. S. Banert, O. Öktem, J. Adler, J. Rudzusika.
   Accelerated Forward-Backward Optimization using Deep Learning.
   SIAM Journal on Optimization, 34(2), 2024.

   DOI: 10.1137/22M1532548
   online at: https://arxiv.org/abs/2105.05210

4. S. Banert, P. Giselsson, H. Sadeghi.
   Incorporating history and deviations in forward–backward splitting.
   Numerical Algorithms, , 2023.

   DOI: 10.1007/s11075-023-01686-8

5. S. Banert, P. Giselsson, M. Morin.
   Nonlinear Forward-Backward Splitting with Momentum Correction.
   Set-Valued and Variational Analysis, 31(37), 2023.

   DOI: 10.1007/s11228-023-00700-4