Dr. Lionel Tondji

Projekte

1. Training Data Driven Experts in Optimization (01.06.2020 - 01.12.2024)

Veranstaltungen (Auswahl)vollständige Liste

1. Selected Topics on Optimization for Machine Learning (Sommersemester 2024)

Publikationen (Auswahl)vollständige Liste

1. L. Tondji, I. Necoara, D. Lorenz.
   Acceleration and restart for the randomized Bregman-Kaczmarz method.
   Linear Algebra and its Applications, 699:508-538, 2024.

   DOI: 10.1016/j.laa.2024.07.009
   online unter: https://arxiv.org/abs/2310.17338

2. L. Tondji, I. Tondji, D. Lorenz.
   Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly.
   Inverse Problems, 40(9), 095006, IOPscience, 2024.

   DOI: 10.1088/1361-6420/ad5fb1
   online unter: https://arxiv.org/abs/2309.06186

3. D. Lorenz, F. Schneppe, L. Tondji.
   Linearly convergent adjoint free solution of least squares problems by random descent.
   Inverse Problems, 39(12), 125019, 2023.

   DOI: 10.1088/1361-6420/ad08ed
   online unter: https://arxiv.org/abs/2306.01946

4. L. Tondji, D. Lorenz, I. Necoara.
   An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization.
   2023 European Control Conference (ECC).
   

   DOI: 10.23919/ECC57647.2023.10178390

5. F. Schöpfer, D. Lorenz, L. Tondji, M. Winkler.
   Extended randomized Kaczmarz method for sparse least squares and impulsive noise problems.
   Linear Algebra and its Applications, 652:132-154, 2022.

   DOI: 10.1016/j.laa.2022.07.003
   online unter: https://arxiv.org/abs/2201.08620