A Strategy for Ranking Optimization Methods using Multiple Criteria. - Ian Dewancker; Michael McCourt; Scott Clark; Patrick Hayes; Alexandra Johnson; George Ke (AutoML@ICML, 2016)

Bayesian Optimization for Machine Learning : A Practical Guidebook. - Ian Dewancker; Michael McCourt; Scott Clark (CoRR, 2016)

A Stratified Analysis of Bayesian Optimization Methods. - Ian Dewancker; Michael McCourt; Scott Clark; Patrick Hayes; Alexandra Johnson; George Ke (CoRR, 2016)

Evaluation System for a Bayesian Optimization Service. - Ian Dewancker; Michael McCourt; Scott Clark; Patrick Hayes; Alexandra Johnson; George Ke (CoRR, 2016)

Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation. - Michael McCourt; Ian Dewancker; Salvatore Ganci (CoRR, 2016)

Active Preference Learning for Personalized Portfolio Construction. - Kevin Tee; Michael McCourt; Ruben Martinez-Cantin; Ian Dewancker; Frank Liu 006 (CoRR, 2017)

Sequential Preference-Based Optimization. - Ian Dewancker; Jakob Bauer; Michael McCourt (CoRR, 2018)

Sampling Humans for Optimizing Preferences in Coloring Artwork. - Michael McCourt; Ian Dewancker (CoRR, 2019)