Jens Schlöter

About me

I am a PhD student at the University of Bremen in Germany in the group of Prof. Dr. Nicole Megow. I am interested in scheduling problems, approximation algorithms, and combinatorial optimization, in particular under uncertainty.

Publications

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

Sorting and Hypergraph Orientation under Uncertainty with Predictions  arxiv.org
Thomas Erlebach, Murilo Santos de Lima, Nicole Megow, Jens Schlöter
Accepted for publication at IJCAI 2023.

Set Selection under Explorable Stochastic Uncertainty via Covering Techniques  arxiv.org
Nicole Megow and Jens Schlöter
Accepted for publication at IPCO 2023.

Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty arxiv.org
Thomas Erlebach, Murilo Santos de Lima, Nicole Megow, Jens Schlöter
ESA 2022

Throughput Scheduling with Equal Additive Laxity sciencedirect.com
Martin Böhm, Nicole Megow, Jens Schlöter
Operations Research Letters 

Explorable Uncertainty Meets Decision-Making in Logistics springer.com 
Nicole Megow and Jens Schlöter
Dynamics in Logistics: 35-56, 2021  springer.com 

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

Orienting (Hyper)graphs Under Explorable Stochastic Uncertainty  pdf
Bampis E., Dürr C., Erlebach T., de Lima M.S., Megow N., Schlöter J.
ESA 2021

Throughput Scheduling with Equal Additive Laxity springer.com
Böhm M., Megow N., Schlöter J.
CIAC 2021

On the Complexity of Conditional DAG Scheduling in Multiprocessor Systems  PDF  ieeexplore.ieee.org
Marchetti-Spaccamela A., Megow N., Schlöter J., Skutella M., Stougie L.
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Improving SAT Solving Using Monte Carlo Tree Search-based Clause Learning  springer.com
Keszöcze O., Schmitz K., Schlöter J., Drechsler R.
In: Rolf Drechsler, Mathias Soeken (Hrsg.): Advanced Boolean Techniques - Selected Papers from the 13th International Workshop on Boolean Problems, Springer International Publishing, 2019.

Theses

Schlöter, J.: Conditional Directed Acyclic Graphs: On the Complexity of Computing the Worst-Case Execution Time  PDF
Advisor: Prof. Dr. Nicole Megow, Master thesis, University of Bremen, 2019.

Schlöter, J.: Modellierung von Scheduling-Problemen mit zeitbehafteten Petri-Netzen  PDF
Advisor: Dr. Sabine Kuske, Bachelor thesis, University of Bremen, 2016.