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Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
8 references·16 citing·33 second hop
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 2011An Empirical Evaluation of Thompson Sampling1,000 cited
  • 2006The Copula-GARCH model of conditional dependencies: An international stock market application784 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2008Bayesian Inference and Optimal Design for the Sparse Linear Model284 cited
  • 2008Practical Bayesian optimization222 cited

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  • 2016Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond52 cited
  • 2022Bayesian optimization techniques for high-dimensional simulation-based transportation problems50 cited
  • 2018Continuous multi-task Bayesian Optimisation with correlation47 cited
  • 2017Bayesian optimization with adaptive kernels for robot control

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44 cited
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  • 2021Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization37 cited
  • 2021A Gentle Introduction to Bayesian Optimization37 cited
  • 2024On active learning for Gaussian process-based global sensitivity analysis32 cited
  • 2023Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis30 cited
  • 2021mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location29 cited