Recent Advances in Bayesian Optimization

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Recent Advances in Bayesian Optimization

7 June 2022

Sebastian Schmitt

Markus Olhofer

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Papers citing "Recent Advances in Bayesian Optimization"

9 / 109 papers shown

Title
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 73 153 0 18 Feb 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 107 648 0 10 Jun 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 116 239 0 05 Feb 2014
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 197 446 0 09 Jan 2013
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes Bo Chen R. Castro Andreas Krause GP 103 87 0 27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,965 0 13 Jun 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 110 331 0 19 Dec 2011
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 128 673 0 06 Dec 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,449 0 12 Dec 2010