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Mathematical Optimization for Data Science Group

Department of Mathematics and Computer Science, Saarland University, Germany

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UdS_Logo.png Saarland
University

Mathematics
and

Computer Science

Research
Inertial / Accelerated Algorithms
Learning to Optimize
Dynamical System View on Optimization
Bilevel Optimization and Automatic Differentiation
Unification of Non-smooth Optimization Algorithms
Segmentation

Projects
TRAGO: Breaking the Barrier for
Tractable Global Optimization of Continuous Problems
in Large Scale Data Science
(DFG Project: start 2025)
TRINOM-DS: TRactable quasI-Newton non-smooth
Optimization Methods for large scale Data Science
(ANR DFG Project: 10.2021 - 09.2025)
Efficient Non-alternating Optimization for Matrix and Tensor Factorization
(05.2021 - 03.2025)
Non-smooth Bi-level Optimization for Computer Vision and Machine Learning
(10.2020 - 09.2024)
Unification of Smooth and Non-smooth Non-convex Optimization Algorithms
(01.2019 - 06.2022)



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