9 citations · 10 across the 3 of their papers we have counts for
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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.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…