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cs.DS2026
The Secretary Problem with a Stochastic Precursor
Franziska Eberle, Alexander Lindermayr
In learning-augmented online algorithms, predictions are usually valued for what they say: a value estimate, a solution, or an algorithmic recommendation. This paper shows that pre…
cs.DS2024
Accelerating Matroid Optimization through Fast Imprecise Oracles
Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr +3
Querying complex models for precise information (e.g. traffic models, database systems, large ML models) often entails intense computations and results in long response times. Thus…
cs.DS2024
Scheduling on a Stochastic Number of Machines
Moritz Buchem, Franziska Eberle, Hugo Kooki Kasuya Rosado +2
We consider a new scheduling problem on parallel identical machines in which the number of machines is initially not known, but it follows a given probability distribution. Only af…