Eric Hans Lee

14 papers A* 2A 2Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2023 J jnl
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems.
CoRR
Eric Hans Lee, Bolong Cheng, Michael McCourt
2023 J jnl
Bayesian Transformed Gaussian Processes.
Trans. Mach. Learn. Res.
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
2023 J jnl
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees.
CoRR
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2023 J jnl
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees.
Knowl. Based Syst.
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2022 Misc conf
Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems.
WSC
Eric Hans Lee, Bolong Cheng, Michael McCourt
2022 J jnl
Scalable Bayesian Transformed Gaussian Processes.
CoRR
Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel
2021 A conf
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization.
UAI
Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger
2021 J jnl
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization.
CoRR
Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger
2021 A* conf
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design.
ICML
Gustavo Malkomes, Bolong Cheng, Eric Hans Lee, Mike Mccourt
2020 J jnl
Cost-aware Bayesian Optimization.
CoRR
Eric Hans Lee, Valerio Perrone, Cédric Archambeau, Matthias W. Seeger
2020 A conf
Efficient Rollout Strategies for Bayesian Optimization.
UAI
Eric Hans Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt
2020 J jnl
Efficient Rollout Strategies for Bayesian Optimization.
CoRR
Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel
2018 A* conf
Scaling Gaussian Process Regression with Derivatives.
NeurIPS
David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson
2018 J jnl
Scaling Gaussian Process Regression with Derivatives.
CoRR
David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson