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20142023
most citedEfficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

74 citations · 201 across the 7 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

math.OC2019★ 69 cited

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…

cs.NE2019★ 11 cited

Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search

Taimoor Akhtar, Christine A. Shoemaker

Multi-Objective Optimization (MOO) is very difficult for expensive functions because most current MOO methods rely on a large number of function evaluations to get an accurate solu…