Eric Hans Lee
Eric Hans Lee
SigOpt: An Intel Company
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Scaling Gaussian process regression with derivatives
D Eriksson, K Dong, E Lee, D Bindel, AG Wilson
Advances in neural information processing systems 31, 2018
Cost-aware Bayesian optimization
EH Lee, V Perrone, C Archambeau, M Seeger
International Conference on Machine Learning, Workshop on Automated Machineá…, 2020
Newton–Ellipsoid polynomiography
B Kalantari, EH Lee
Journal of Mathematics and the Arts 13 (4), 336-352, 2019
Efficient Rollout Strategies for Bayesian Optimization
EH Lee, D Eriksson, B Cheng, M McCourt, D Bindel
Conference on Uncertainty in Artificial Intelligence, 2020
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
A nonmyopic approach to cost-constrained Bayesian optimization
EH Lee, D Eriksson, V Perrone, M Seeger
Uncertainty in Artificial Intelligence, 568-577, 2021
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
Scalable Bayesian Transformed Gaussian Processes
X Zhu, L Huang, C Ibrahim, EH Lee, D Bindel
arXiv preprint arXiv:2210.10973, 2022
Budget-constrained Bayesian optimization
EH Lee
Cornell University, 2020
Newton-Ellipsoid Method and its Polynomiography
B Kalantari, E Lee
arXiv preprint arXiv:1410.2202, 2014
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, 0
Improving Upon Mode to Mode Comparisons in MDOF Systems: The Modal Assurance Fit (MAF)
EH Lee, D Bindel
Identifying Contingencies in Power Systems using Time-Domain Dynamics
EH Lee, D Bindel
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