Mathematical Optimization for Data Science Group, Saarland University

Welcome to the homepage of the

Mathematical Optimization for Data Science Group

Mathematical Optimization for Data Science Group

News:

04.2024: Our research project TRAGO will be funded by the German Research Foundation.

There are several open positions !

04.2024: The research topics Learning to Optimize and Dynamical System View on Optimization were added to our research page.

04.2024: We have a new preprint Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation on arXiv.

03.2024: We have a new preprint Stochastic Inertial Dynamics Via Time Scaling and Averaging on arXiv.

01.2024: Our paper Continuous Newton-like Methods featuring Inertia and Variable Mass is now published in the SIAM Journal on Optimization (SIOPT).

12.2023: We have a new preprint Accelerated Gradient Dynamics on Riemannian Manifolds: Faster Rate and Trajectory Convergence on arXiv.

11.2023: We have a new preprint Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization on arXiv.

Xiaoxi Jia has joined our group in November 2023 as a PostDoc.

03.2023: New group webpage is online.

03.2023: One paper was accepted at SSVM 2023.

02.2023: Our paper PAC-Bayesian Learning of Optimization Algorithms is accepted at AISTATS 2023.

01.2023: We have a new preprint Continuous Newton-like Methods featuring Inertia and Variable Mass on arXiv.

News (before 03.2023 at University of Tübingen):

10.2022: We have a new preprint PAC-Bayesian Learning of Optimization Algorithms on arXiv.

09.2022: We have a new preprint Inertial Quasi-Newton Methods for Monotone Inclusion: Efficient Resolvent Calculus and Primal-Dual Methods on arXiv.

09.2022: We have a new preprint Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions on arXiv.

Michael Sucker is going to join our group in April 2022 as a PhD Student.

Tejas Natu is going to join our group in March 2022 as a PhD Student.

Camille Castera is going to join our group in February 2022 as a PostDoc.

12.2021: Our paper Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms has been accepted for publication in the Journal of Global Optimization.

Peter Ochs was invited for a presentation in the One World Optimization Seminar on 22.11.2021.

16.11.2021: Congratulations to Mahesh Chandra Mukkamala for his graduation!

08.2021: We have a new preprint An Abstract Convergence Framework with Application to Inertial Inexact Forward-Backward Methods on Optimization Online.

06.2021: Jan-Hendrik Lange leaves the group and joins Amazon EU.

02.2021: Shida Wang has joined our group.

04.2021: Oskar Adolfson has joined our group.

02.2021: Shida Wang has joined our group.

12.2020: We have a new preprint Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms on arXiv.

09.2020: Jan-Hendrik Lange has joined our group.

The Mathematical Optimization Group has moved to the University of Tübingen in September 2020.

Alumni:
Jan-Hendrik Lange (09.2020 - 05.2021) went to Amazon EU	Mahesh Chandra Mukkamala (06.2018 - 05.2021) Graduation 16.11.2021	Oskar Adolfson (05.2021 - 04.2022)