Alexander Lindermayr

Bild von Alex Lindermayr

Universität Bremen
FB3: Mathematik/Informatik
Bibliothekstr. 5
28359 Bremen
Office: MZH 3320
Phone: +49 (421) 218-63587
Office hours: by appointment

About me

I am a PhD student at the University of Bremen in Germany since October 2020. My supervisor is Prof. Dr. Nicole Megow. I am interested in various topics in combinatorial optimization. My current focus is the field of optimization under uncertainty, especially algorithms which handle uncertainty using untrusted predictions. I also like programming.
From 10/2020 to 12/2020, I was working on the project "Scheduling Invasive Multicore Programs Under Uncertainty" of the Transregional Collaborative Research Center (TCRC) 89: Invasive Computing (InvasIC).


  • ALPS: a website which semi-automatically tracks and labels papers on algorithms with predictions via arXiv and DBLP APIs!
  • Xivar: a cli app written in Rust which searches papers on arXiv and DBLP, organizes a local PDF library and fetches bib-entries to clipboard!
  • Collclean: a cli app written in Rust which removes given commands from tex-files, including brackets (e.g. collaboration colors)!


Santa Claus meets Makespan and Matroids: Algorithms and Reductions 
Étienne Bamas, Alexander Lindermayr, Nicole Megow, Lars Rohwedder, Jens Schlöter
SODA 2024

Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
Alexander Lindermayr, Nicole Megow, Martin Rapp
ICML 2023

Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
Alexandra Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter
ICML 2023

A Universal Error Measure for Input Predictions Applied to Online Graph Problems
Giulia Bernardini, Alexander Lindermayr, Alberto Marchetti-Spaccamela, Nicole Megow, Leen Stougie, Michelle Sweering
NeurIPS 2022

Permutation Predictions for Non-Clairvoyant Scheduling SPAA
Alexander Lindermayr and Nicole Megow
SPAA 2022

Robustification of Online Graph Exploration Methods AAAI
Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter
AAAI 2022

Double Coverage with Machine-Learned Advice  arxiv.orgITCS
Alexander Lindermayr, Nicole Megow, Bertrand Simon
ITCS 2022

Elimination Distance to Bounded Degree on Planar Graphs  MFCS
Alexander Lindermayr, Sebastian Siebertz, Alexandre Vigny
MFCS 2020


Learning-Augmented Online Algorithms for the 2-Server Problem on the Line and Generalizations  PDF
Alexander Lindermayr
Master thesis, University of Bremen, 2020.