143 citations · 196 across the 6 of their papers we have counts for
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cs.LG2019★ 143 cited
Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob R Gardner +2
Bayesian optimization has recently emerged as a popular method for the sample-efficient optimization of expensive black-box functions. However, the application to high-dimensional…
math.OC2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization
David Eriksson, David Bindel, Christine A. Shoemaker
This paper describes Plumbing for Optimization with Asynchronous Parallelism (POAP) and the Python Surrogate Optimization Toolbox (pySOT). POAP is an event-driven framework for bui…