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We propose a novel Bayesian Optimization approach for black-box functions with an environmental variable whose value determines the tradeoff between evaluation cost and the fidelity of the evaluations.
A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise
Kushner, Harold J · 1964
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On Bayesian methods for seeking the extremum
Močkus, J · 1975
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Efficient global optimization of expensive black-box functions
Jones, Donald R, Schonlau, Matthias, and Welch, William J · 1998
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Sequential design of computer experiments to minimize integrated response functions
Williams, Brian J., Santner, Thomas J., and Notz, William I · 2000
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Expectation propagation for approximate Bayesian inference
Minka, Thomas P · 2001
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Slice sampling
Neal, Radford M · 2003
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Gaussian processes for machine learning
Rasmussen, Carl Edward · 2006
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Automatic gait optimization with Gaussian process regression
Lizotte, Daniel J, Wang, Tao, Bowling, Michael H, and Schuurmans, Dale · 2007
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Practical bayesian optimization
Lizotte, Daniel James · 2008
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Gaussian process bandits without regret: An experimental design approach
Srinivas, Niranjan, Kakade, Sham M, Seeger, Matthias, and Krause, Andreas · 2009
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Bayesian optimization for sensor set selection
Garnett, Roman, Osborne, Michael A, and Roberts, Stephen J · 2010
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Slice sampling covariance hyperparameters of latent Gaussian models
Murray, Iain and Adams, Ryan P · 2010
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Using response surfaces and expected improvement to optimize snake robot gait parameters
Tesch, Matthew, Schneider, Jeff, and Choset, Howie · 2011
Practical Bayesian optimization of machine learning algorithms
Snoek, Jasper, Larochelle, Hugo, and Adams, Ryan P · 2012
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Multi-task Bayesian optimization
Swersky, Kevin, Snoek, Jasper, and Adams, Ryan P · 2013
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Predictive entropy search for efficient global optimization of black-box functions
Hernández-Lobato, José Miguel, Hoffman, Matthew W, and Ghahramani, Zoubin · 2014
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Freeze-thaw Bayesian optimization
Swersky, Kevin, Snoek, Jasper, and Adams, Ryan Prescott · 2014
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Bayesian optimization for learning gaits under uncertainty
Calandra, Roberto, Seyfarth, André, Peters, Jan, and Deisenroth, Marc Peter · 2016
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Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
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Cited alongside, same era.
Entropy search for information-efficient global optimization
Hennig, Philipp and Schuler, Christian J · 2012
Cited alongside, same era.
Klein, A., Falkner, S., Bartels, S., Hennig, P., and Hutter, F · 2017
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