Lionel Tondji

Projects

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

Courses (Selection)complete list

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

Publications (Selection)complete list

1. 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 at: https://arxiv.org/abs/2306.01946

2. 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

3. L. Tondji, I. Necoara, D. Lorenz.
   Acceleration and restart for the randomized Bregman-Kaczmarz method.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2310.17338

4. L. Tondji, I. Tondji, D. Lorenz.
   Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2309.06186

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 at: https://arxiv.org/abs/2201.08620