| Bayesian optimization for materials design PI Frazier, J Wang Information science for materials discovery and design, 45-75, 2016 | 250 | 2016 |
| Multi-information source optimization M Poloczek, J Wang, P Frazier Advances in neural information processing systems 30, 2017 | 248 | 2017 |
| Discovering de novo peptide substrates for enzymes using machine learning L Tallorin, JL Wang, WE Kim, S Sahu, NM Kosa, P Yang, M Thompson, ... Nature communications 9 (1), 5253, 2018 | 75 | 2018 |
| Parallel Bayesian global optimization of expensive functions J Wang, SC Clark, E Liu, PI Frazier Operations Research 68 (6), 1850-1865, 2020 | 70 | 2020 |
| Warm starting Bayesian optimization M Poloczek, J Wang, PI Frazier 2016 Winter simulation conference (WSC), 770-781, 2016 | 62 | 2016 |
| Tuning materials-binding peptide sequences toward gold-and silver-binding selectivity with bayesian optimization ZE Hughes, MA Nguyen, J Wang, Y Liu, MT Swihart, M Poloczek, ... ACS nano 15 (11), 18260-18269, 2021 | 28 | 2021 |
| Bayesian optimization with parallel function evaluations and multiple information sources: methodology with applications in biochemistry, aerospace engineering, and machine … J Wang Cornell University, 2017 | 6 | 2017 |
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityDirección de correo verificada de cornell.edu
