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Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020



Ryan Turner , David Eriksson , Michael McCourt , Juha Kiili , Eero Laaksonen , Zhen Xu , Isabelle Guyon


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Efficient Rollout Strategies for Bayesian Optimization



Eric Hans Lee , David Eriksson , Bolong Cheng , Michael McCourt , David Bindel


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Sampling Humans for Optimizing Preferences in Coloring Artwork



Michael McCourt , Ian Dewancker

* 6 pages, 4 figures, presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Bayesian Optimization over Sets



Jungtaek Kim , Michael McCourt , Tackgeun You , Saehoon Kim , Seungjin Choi

* 14 pages, 4 figures, 3 tables 

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Sequential Preference-Based Optimization



Ian Dewancker , Jakob Bauer , Michael McCourt


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Practical Bayesian optimization in the presence of outliers



Ruben Martinez-Cantin , Kevin Tee , Michael McCourt

* 10 pages (2 of references), 6 figures, 1 algorithm 

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Robust Bayesian Optimization with Student-t Likelihood



Ruben Martinez-Cantin , Michael McCourt , Kevin Tee


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Bayesian Optimization for Machine Learning : A Practical Guidebook



Ian Dewancker , Michael McCourt , Scott Clark


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Evaluation System for a Bayesian Optimization Service



Ian Dewancker , Michael McCourt , Scott Clark , Patrick Hayes , Alexandra Johnson , George Ke


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