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Bolong Cheng
Bolong Cheng
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Title
Cited by
Cited by
Year
Co-optimizing battery storage for the frequency regulation and energy arbitrage using multi-scale dynamic programming
B Cheng, WB Powell
IEEE Transactions on Smart Grid 9 (3), 1997-2005, 2016
2162016
Creating glasswing butterfly-inspired durable antifogging superomniphobic supertransmissive, superclear nanostructured glass through Bayesian learning and optimization
S Haghanifar, M McCourt, B Cheng, J Wuenschell, P Ohodnicki, PW Leu
Materials Horizons 6 (8), 1632-1642, 2019
412019
Low-rank value function approximation for co-optimization of battery storage
B Cheng, T Asamov, WB Powell
IEEE Transactions on Smart Grid 9 (6), 6590-6598, 2017
302017
Discovering high-performance broadband and broad angle antireflection surfaces by machine learning
S Haghanifar, M McCourt, B Cheng, J Wuenschell, P Ohodnicki, PW Leu
Optica 7 (7), 784-789, 2020
222020
Beyond the pareto efficient frontier: Constraint active search for multiobjective experimental design
G Malkomes, B Cheng, EH Lee, M Mccourt
International Conference on Machine Learning, 7423-7434, 2021
182021
Efficient rollout strategies for Bayesian optimization
E Lee, D Eriksson, D Bindel, B Cheng, M Mccourt
Conference on Uncertainty in Artificial Intelligence, 260-269, 2020
182020
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent 10,558,934, 2020
112020
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent 10,528,891, 2020
102020
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent 10,621,514, 2020
82020
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent 10,740,695, 2020
72020
Optimal learning with a local parametric belief model
B Cheng, A Jamshidi, WB Powell
Journal of Global Optimization 63, 401-425, 2015
42015
Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization
J Komiyama, G Malkomes, B Cheng, M McCourt
Transactions on Machine Learning, 2022
12022
Systems and methods for implementing an intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds
M McCourt, B Cheng, TJ Spriggs, H Vance, O Kim, B Hsu, S Frey, ...
US Patent App. 16/943,643, 2021
12021
The knowledge gradient algorithm using locally parametric approximations
B Cheng, AA Jamshidi, WB Powell
2013 Winter Simulations Conference (WSC), 856-867, 2013
12013
Using Bayesian Optimization to Improve Solar Panel Performance by Developing Antireflective, Superomniphobic Glass
S Haghanifar, B Cheng, M McCourt, P Leu
1
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent App. 18/320,803, 2023
2023
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees
A Sorokin, X Zhu, EH Lee, B Cheng
Knowledge-Based Systems 273, 110604, 2023
2023
Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
B Cheng, O Kim, M McCourt, P Hayes, S Clark
US Patent 11,699,098, 2023
2023
Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems
EH Lee, B Cheng, M McCourt
2022 Winter Simulation Conference (WSC), 3146-3157, 2022
2022
On Multi-information source Constraint Active Search
G Malkomes, S Miret, B Cheng
AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022
2022
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Articles 1–20