9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 9 cited
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
Aleksei Sorokin, Xinran Zhu, Eric Hans Lee +1
Gradient boosted trees (GBTs) are ubiquitous models used by researchers, machine learning (ML) practitioners, and data scientists because of their robust performance, interpretable…
cs.AI2023
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems
Eric Hans Lee, Bolong Cheng, Michael McCourt
Efficiently solving multi-objective optimization problems for simulation optimization of important scientific and engineering applications such as materials design is becoming an i…
cs.LG2020★ 1 cited
Efficient Rollout Strategies for Bayesian Optimization
Eric Hans Lee, David Eriksson, Bolong Cheng +2
Bayesian optimization (BO) is a class of sample-efficient global optimization methods, where a probabilistic model conditioned on previous observations is used to determine future…