References

• 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
• 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
• 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
• 2011An Empirical Evaluation of Thompson Sampling1,000 cited
• 2015Scalable Bayesian Optimization Using Deep Neural Networks703 cited
• 2012Thompson Sampling for Contextual Bandits with Linear Payoffs600 cited
• 2013Multi-Task Bayesian Optimization484 cited
• 2012Entropy search for information-efficient global optimization456 cited
• 2010A modern Bayesian look at the multi‐armed bandit408 cited
• 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
• 2014On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning85 cited

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