65 citations · 144 across the 15 of their papers we have counts for
4 papers · 1 filter
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle +3
Automated machine learning (AutoML) strives for the automatic configuration of machine learning algorithms and their composition into an overall (software) solution - a machine lea…
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
In online algorithm selection (OAS), instances of an algorithmic problem class are presented to an agent one after another, and the agent has to quickly select a presumably best al…
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
Eyke Hüllermeier, Felix Mohr, Alexander Tornede +1
The notion of bounded rationality originated from the insight that perfectly rational behavior cannot be realized by agents with limited cognitive or computational resources. Resea…
Algorithm Selection on a Meta Level
Alexander Tornede, Lukas Gehring, Tanja Tornede +2
The problem of selecting an algorithm that appears most suitable for a specific instance of an algorithmic problem class, such as the Boolean satisfiability problem, is called inst…