Alexander Lindermayr

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.
Further, I am working on the project "Scheduling Invasive Multicore Programs Under Uncertainty" of the Transregional Collaborative Research Center (TCRC) 89: Invasive Computing (InvasIC).

I set up and maintain an overview website on algorithms with predictions.

Publications

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

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

Robustification of Online Graph Exploration Methods  arxiv.org
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  arxiv.org  MFCS
Alexander Lindermayr, Sebastian Siebertz, Alexandre Vigny
MFCS 2020

Theses

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