Eric Hans Lee

According to our database, Eric Hans Lee authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bayesian Transformed Gaussian Processes.

Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel

Trans. Mach. Learn. Res., 2023

SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees.

Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng

Knowl. Based Syst., 2023

2022

Scalable Bayesian Transformed Gaussian Processes.

Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel

CoRR, 2022

Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems.

Eric Hans Lee, Bolong Cheng, Michael McCourt

Proceedings of the Winter Simulation Conference, 2022

2021

A Nonmyopic Approach to Cost-Constrained Bayesian Optimization.

Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design.

Gustavo Malkomes, Bolong Cheng, Eric Hans Lee, Mike Mccourt

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Cost-aware Bayesian Optimization.

Eric Hans Lee, Valerio Perrone, Cédric Archambeau, Matthias W. Seeger

CoRR, 2020

Efficient Rollout Strategies for Bayesian Optimization.

Eric Hans Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2018

Scaling Gaussian Process Regression with Derivatives.

David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018