| Distributed hyperparameter tuning system for machine learning PN Koch, BA Wujek, OB Golovidov, SJ Gardner, JD Griffin, SR Pope, Y Xu US Patent 10,360,517, 2019 | 96 | 2019 |
| Autotune: A derivative-free optimization framework for hyperparameter tuning P Koch, O Golovidov, S Gardner, B Wujek, J Griffin, Y Xu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 92 | 2018 |
| Automated hyperparameter tuning for effective machine learning P Koch, B Wujek, O Golovidov, S Gardner proceedings of the SAS Global Forum 2017 Conference, 1-23, 2017 | 48 | 2017 |
| Constrained multi-objective optimization for automated machine learning S Gardner, O Golovidov, J Griffin, P Koch, W Thompson, B Wujek, Y Xu 2019 IEEE International conference on data science and advanced analytics …, 2019 | 13 | 2019 |
| Optimizing manufacturing processes using one or more machine learning models P Cay, N Karmakar, N Summerville, V Valsaraj, AN Cooper, SJ Gardner, ... US Patent 11,055,639, 2021 | 8 | 2021 |
| Multi-objective distributed hyperparameter tuning system SJ Gardner, JD Griffin, Y Xu, PN Koch, BA Wujek, OB Golovidov US Patent 11,093,833, 2021 | 4 | 2021 |
| Distributed decision variable tuning system for machine learning SJ Gardner, JD Griffin, Y Xu, Y Gao US Patent 10,963,802, 2021 | 3 | 2021 |
| Fair AutoML Through Multi-objective Optimization S Gardner, O Golovidov, J Griffin, P Koch, R Shi, B Wujek, Y Xu | 2 | 2021 |
| Using SAS/OR® to Optimize the Layout of Wind Farm Turbines S Xu, J Yi, S Gardner, J Griffin, B Kacar Paper SAS1681--2015, SAS Institute Inc, 2015 | 2 | 2015 |
| Automated machine learning test system SJ Gardner, CS Dunbar, DB Elsheimer, GS Dunbar, JD Griffin, Y Gao US Patent 11,886,329, 2024 | | 2024 |
