Search Results for author: Thomas Stützle

Found 2 papers, 0 papers with code

Towards transferring algorithm configurations across problems

no code implementations NeurIPS Workshop LMCA 2020 Alberto Franzin, Thomas Stützle

Automatic approaches for algorithm configuration and design have received significant attention in the last years, thanks to both the potential to obtain high performing algorithms, and the ease for algorithm designers and practitioners.

Algorithm Configuration: Learning policies for the quick termination of poor performers

no code implementations26 Mar 2018 Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle

One way to speed up the algorithm configuration task is to use short runs instead of long runs as much as possible, but without discarding the configurations that eventually do well on the long runs.

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