Welcome to the homepage of the

Mathematical Optimization Group

Department of Mathematics, University of Tübingen, Germany

Mathematical Optimization Group

Prof. Dr. Peter Ochs


Peter Ochs

Martina Jung
(Secretary)

Camille Castera

Sheheryar Mehmood

Shida Wang

Tejas Natu

Michael Sucker

News:
In March 2023, our group is going to move to the University of Saarland.
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.
Our paper Differentiating the Value Function by using Convex Duality is accepted at AISTATS 2021.
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.
Our paper "Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization" by Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock and Shoham Sabach is now published in SIAM Journal on Mathematics of Data Science.


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)

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