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Expected Improvement (EI) is arguably the most popular acquisition function in Bayesian optimization and has found countless successful applications, but its performance is often exceeded by that of more recent methods.
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Peter Frazier, Warren Powell, and Savas Dayanik · 2009
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Peter I. Frazier, Jing Xie, and Stephen E. Chick · 2011
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Tobias Friedrich, Karl Bringmann, Thomas Voß, and Christian Igel · 2011
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Frank Hutter, Holger H Hoos, and Kevin Leyton-Brown · 2011
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Jasper Snoek, Hugo Larochelle, and Ryan P Adams · 2012
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Diederik P Kingma and Max Welling · 2013
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Jacob Gardner, Matt Kusner, Zhixiang, Kilian Weinberger, and John Cunningham · 2014
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Michael A. Gelbart, Jasper Snoek, and Ryan P. Adams · 2014
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Predictive entropy search for efficient global optimization of black-box functions
José Miguel Henrández-Lobato, Matthew W. Hoffman, and Zoubin Ghahramani · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Making ego and cma-es complementary for global optimization
Hossein Mohammadi, Rodolphe Le Riche, and Eric Touboul · 2015
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GPyOpt: A bayesian optimization framework in python
The GPyOpt authors · 2016
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Parallel bayesian global optimization of expensive functions, 2016
Jialei Wang, Scott C. Clark, Eric Liu, and Peter I. Frazier · 2016
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The parallel knowledge gradient method for batch bayesian optimization
Jian Wu and Peter I. Frazier · 2016
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabás Póczos, and Eric P. Xing · 2020
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Eric Hans Lee, Valerio Perrone, Cedric Archambeau, and Matthias Seeger · 2020
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Ryoji Tanabe and Hisao Ishibuchi · 2020
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Dawei Zhan and Huanlai Xing · 2020
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Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams
Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, and R. Bruce van Dover · 2021
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