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 that handle uncertainty using untrusted predictions. I also like programming.
From 10/2020 to 12/2022, I was working on the project "Scheduling Invasive Multicore Programs Under Uncertainty" of the Transregional Collaborative Research Center (TCRC) 89: Invasive Computing (InvasIC).

Projects

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

Preprints

Two-Edge Connectivity via Pac-Man Gluing  arxiv.org 
Mohit Garg, Felix Hommelsheim, Alexander Lindermayr

Publications

The Power of Proportional Fairness for Non-Clairvoyant Scheduling under Polyhedral Constraints  arxiv.org
Sven Jäger, Alexander Lindermayr, Nicole Megow
SODA 2025

Accelerating Matroid Optimization through Fast Imprecise Oracles  arxiv.org 
Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr, Zhenwei Liu, Nicole Megow, Jens Schlöter
NeurIPS 2024

The Safe and Effective Use of Optimistic Period Predictions
Sanjoy Baruah, Pontus Ekberg, Alexander Lindermayr, Alberto Marchetti-Spaccamela, Nicole Megow, Leen Stougie
RTNS 2024

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

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

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

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 SPAA
Alexander Lindermayr and Nicole Megow
SPAA 2022

Robustification of Online Graph Exploration Methods  arxiv.org 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  arxiv.org  Fund. Inf.
Alexander Lindermayr, Sebastian Siebertz, Alexandre Vigny
MFCS 2020, Fundamenta Informaticae 2024

Theses

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