Squirrel: A Switching Hyperparameter Optimizer

Awad, Noor, Shala, Gresa, Deng, Difan, Mallik, Neeratyoy, Feurer, Matthias, Eggensperger, Katharina, Biedenkapp, Andre', Vermetten, Diederick, Wang, Hao, Doerr, Carola, Lindauer, Marius, Hutter, Frank

arXiv.org Machine Learning 

In this short note, we describe our submission to the NeurIPS 2020 BBO challenge. Motivated by the fact that different optimizers work well on different problems, our approach switches between different optimizers. Since the team names on the competition's leaderboard were randomly generated "alliteration nicknames", consisting of an adjective and an animal with the same initial letter, we called our approach the Switching Squirrel, or here, short, Squirrel. The challenge mandated to suggest 16 successive batches of 8 hyperparameter configurations at a time. We chose to only use one optimizer for a given batch, warmstarted with all previous observations.

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