McCourt, Michael

4 publications

TMLR 2022 Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt

MLJ 2021 Bayesian Optimization with Approximate Set Kernels Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi

AISTATS 2018 Practical Bayesian Optimization in the Presence of Outliers Ruben Martinez-Cantin, Kevin Tee, Michael McCourt

AutoML 2016 A Strategy for Ranking Optimization Methods Using Multiple Criteria Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke