News
2026
- Oct 2026We are looking forward to the 2026-edition of our yearly MOP Retreat at Saarland University starting on October 26th.
- Oct 2026We have two new preprints Euclidean Distance-Based Flow Matching and Optimal Transport PAC-Bayes Bounds on arXiv.
- Sep 2026Our paper Understanding the Curse of Unrolling was accepted at NeurIPS.
- Aug 2026We have a new preprint A Probabilistic Framework for Learnable Optimization Algorithms on arXiv.
- Apr 2026Our paper Symmetries in PAC-Bayesian Learning was accepted at ICML.
- Apr 2026Congratulations to Shida on his graduation!
- Apr 2026Mahesh Chandra Mukkamala joins our group as a PostDoc.
2025
- Nov 2025Paul Heilmann joins our group as a PhD Student.
- Oct 2025We have a new preprint Symmetries in PAC-Bayesian Learning on arXiv.
- Oct 2025We have a new preprint Bregman Stochastic Proximal Point Algorithm with Variance Reduction on arXiv.
- Oct 2025Milan Bacchetta joins our group as a PhD Student.
- Sep 2025Yu Tang joins our group as a PhD Student.
- Jun 2025Congratulations to Michael on his graduation!
- May 2025Our two papers A Generalization Result for Convergence in Learning-to-Optimize and Automatic Differentiation of Optimization Algorithms with Time-Varying Updates are accepted at ICML.
- Jan 2025Our paper From Learning to Optimize to Learning Optimization Algorithms is accepted at AISTATS.
2024
- Dec 2024Cheik Traoré has joined our group in December 2024 as a PostDoc.
- Nov 2024Congratulations to Rodrigo on his graduation!
- Nov 2024Armin Beck has joined our group in November 2024 as a PhD Student.
- Oct 2024We have three new preprints on arXiv.
- Oct 2024Congratulations to Camille for his new position: associate professor in optimization and machine learning at the mathematical institute of the university of Bordeaux (IMB).
- Aug 2024We have a new preprint A Markovian Model for Learning-to-Optimize on arXiv.
- Jul 2024
- May 2024We have a new preprint From Learning to Optimize to Learning Optimization Algorithms on arXiv.
- Apr 2024Our research project TRAGO will be funded by the German Research Foundation.
- Apr 2024The research topics Learnable Optimization Algorithms (formerly: Learning to Optimize) and Dynamical System View on Optimization were added to our research page.
- Apr 2024We have a new preprint Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation on arXiv.
- Mar 2024We have a new preprint Stochastic Inertial Dynamics Via Time Scaling and Averaging on arXiv.
- Jan 2024Our paper Continuous Newton-like Methods featuring Inertia and Variable Mass is now published in the SIAM Journal on Optimization (SIOPT).
2023
- Dec 2023We have a new preprint Accelerated Gradient Dynamics on Riemannian Manifolds: Faster Rate and Trajectory Convergence on arXiv.
- Nov 2023We have a new preprint Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization on arXiv.
- Nov 2023Xiaoxi Jia has joined our group in November 2023 as a PostDoc.
- Mar 2023New group webpage is online.
- Mar 2023One paper was accepted at SSVM 2023.
- Feb 2023Our paper PAC-Bayesian Learning of Optimization Algorithms is accepted at AISTATS 2023.
- Jan 2023We have a new preprint Continuous Newton-like Methods featuring Inertia and Variable Mass on arXiv.
2022
- Oct 2022We have a new preprint PAC-Bayesian Learning of Optimization Algorithms on arXiv.
- Sep 2022We have a new preprint Inertial Quasi-Newton Methods for Monotone Inclusion: Efficient Resolvent Calculus and Primal-Dual Methods on arXiv.
- Sep 2022We have a new preprint Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions on arXiv.
- Apr 2022Michael Sucker has joined our group in April 2022 as a PhD Student.
- Mar 2022Tejas Natu has joined our group in March 2022 as a PhD Student.
- Feb 2022Camille Castera has joined our group in February 2022 as a PostDoc.
2021
- Dec 2021Our paper Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms has been accepted for publication in the Journal of Global Optimization.
- Nov 2021Peter Ochs was invited for a presentation in the One World Optimization Seminar on 22.11.2021.
- Nov 2021Congratulations to Mahesh Chandra Mukkamala on his graduation!
- Aug 2021We have a new preprint An Abstract Convergence Framework with Application to Inertial Inexact Forward-Backward Methods on Optimization Online.
- Jun 2021Jan-Hendrik Lange leaves the group and joins Amazon EU.
- Apr 2021Oskar Adolfson has joined our group.
- Feb 2021Shida Wang has joined our group.
- Jan 2021Our paper Differentiating the Value Function by using Convex Duality is accepted at AISTATS 2021.
2020
- Dec 2020We have a new preprint Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms on arXiv.
- Sep 2020Jan-Hendrik Lange has joined our group.
- Sep 2020The Mathematical Optimization Group has moved to the University of Tübingen in September 2020.
- Aug 2020