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Fourier Representations for Black-Box Optimization over Categorical Variables

AAAI 2022 · Probabilistic and scientific modeling › Bayesian optimization · approach: High-dimensional Bayesian optimization · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ECO-F instead of COMBOCategorical black-box optimization · Latin Squarecomputation time per step: 170.4 -> 1.5Helped
Use ECO-G instead of COMBOCategorical black-box optimization · Latin Squarecomputation time per step: 170.4 -> 3.6Helped
Use ECO-F instead of COMBOCategorical black-box optimization · Pest Controlcomputation time per step: 151.0 -> 1.4Helped
Use ECO-G instead of COMBOCategorical black-box optimization · Pest Controlcomputation time per step: 151.0 -> 3.3Helped
Use ECO-F instead of COMBOCategorical black-box optimization · RNA Optimizationcomputation time per step: 253.8 -> 2.0Helped
Use ECO-G instead of COMBOCategorical black-box optimization · RNA Optimizationcomputation time per step: 253.8 -> 5.7Helped
Use ECO-F rather than random search or simulated annealing without a surrogateCategorical black-box optimization · Latin Squarebest function value foundHelped
Use ECO-G rather than COMBO at early evaluation budgetsCategorical black-box optimization · Latin Squarebest function value found: 130 samplesHelped
Use COMBO rather than ECO methods at larger evaluation budgetsCategorical black-box optimization · Latin Squarebest function value foundHelped
Use TCO-F with a regularized horseshoe priorCategorical black-box optimization · Latin Squarebest function value foundHurt
Use TCO-F rather than ECO-FCategorical black-box optimization · Pest Controlevaluations to find the minimum: within 280 steps; ECO-F in ≈ 360 stepsHelped
Use ECO-G rather than ECO-FCategorical black-box optimization · RNA Optimizationbest function value foundHelped

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