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Motivated by the task of hyperparameter optimization, we introduce the non-stochastic best-arm identification problem.
The nonstochastic multiarmed bandit problem
Auer, Peter, Cesa-Bianchi, Nicolo, Freund, Yoav, and Schapire, Robert E · 2002
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Cicirello, Vincent A and Smith, Stephen F · 2005
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The elements of statistical learning: data mining, inference and prediction
Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome, and Franklin, James · 2005
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Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems
Even-Dar, Eyal, Mannor, Shie, and Mansour, Yishay · 2006
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Audibert, Jean-Yves and Bubeck, Sébastien · 2010
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Kraska, Tim, Talwalkar, Ameet, Duchi, John, Griffith, Rean, Franklin, Michael, and Jordan, Michael · 2013
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Lichman, M · 2013
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Jamieson, Kevin, Malloy, Matthew, Nowak, Robert, and Bubeck, Sébastien · 2014
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On the complexity of best arm identification in multi-armed bandit models
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Bubeck, Sébastien and Cesa-Bianchi, Nicolo · 2012
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