| Scaling Gaussian process regression with derivatives D Eriksson, K Dong, E Lee, D Bindel, AG Wilson Advances in neural information processing systems 31, 2018 | 106 | 2018 |
| Cost-aware Bayesian optimization EH Lee, V Perrone, C Archambeau, M Seeger International Conference on Machine Learning, Workshop on Automated Machine …, 2020 | 64 | 2020 |
| A nonmyopic approach to cost-constrained Bayesian optimization EH Lee, D Eriksson, V Perrone, M Seeger Uncertainty in Artificial Intelligence, 568-577, 2021 | 34 | 2021 |
| 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 | 29 | 2021 |
| Efficient Rollout Strategies for Bayesian Optimization EH Lee, D Eriksson, B Cheng, M McCourt, D Bindel Conference on Uncertainty in Artificial Intelligence, 2020 | 29 | 2020 |
| Newton–Ellipsoid polynomiography B Kalantari, EH Lee Journal of Mathematics and the Arts 13 (4), 336-352, 2019 | 23 | 2019 |
| Specialized cyclist detection dataset: challenging real-world computer vision dataset for cyclist detection using a monocular RGB camera A Masalov, P Matrenin, J Ota, F Wirth, C Stiller, H Corbet, E Lee 2019 IEEE Intelligent Vehicles Symposium (IV), 114-118, 2019 | 7 | 2019 |
| 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 | 6 | 2023 |
| Protocol-aware recovery for consensus-based distributed storage R Alagappan, A Ganesan, E Lee, A Albarghouthi, V Chidambaram, ... ACM Transactions on Storage (TOS) 14 (3), 1-30, 2018 | 6 | 2018 |
| Cydet: Improving camera-based cyclist recognition accuracy with known cycling jersey patterns A Masalov, J Ota, H Corbet, E Lee, A Pelley 2018 IEEE Intelligent Vehicles Symposium (IV), 2143-2149, 2018 | 6 | 2018 |
| Advances in Neural Information Processing Systems 31 D Eriksson, K Dong, E Lee, D Bindel, AG Wilson Curran Associates, Inc., 2018 | 4 | 2018 |
| Bayesian transformed gaussian processes X Zhu, L Huang, EH Lee, CA Ibrahim, D Bindel Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Hyperparameter Optimization of Graph Neural Networks for the OpenCatalyst Dataset: A Case Study C Gonzales, EH Lee, KLK Lee, J Tang, S Miret AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022 | 2 | 2022 |
| Improving Upon Mode to Mode Comparisons in MDOF Systems: The Modal Assurance Fit (MAF) EH Lee, D Bindel | 2 | 2018 |
| Budget-constrained Bayesian optimization EH Lee Cornell University, 2020 | 1 | 2020 |
| Anti-icos antibodies RCA Sainson, SJ Arkinstall, JI Campbell, MH Ali, EC Lee, MJ McCourt, ... US Patent App. 18/499,431, 2024 | | 2024 |
| 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 |
| Identifying Contingencies in Power Systems using Time-Domain Dynamics EH Lee, D Bindel | | |
David BindelProfessor of Computer Science, Cornell UniversityEmail được xác minh tại cs.cornell.edu