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20152022
most citedA machine learning-based selective sampling procedure for identifying the low energy region in a potential energy surface: a case study on proton conduction in oxides

63 citations · 162 across the 6 of their papers we have counts for

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Showing 2019 · stat.MLShow all

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stat.ML2019★ 23 cited

Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization

Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada +4

In a standard setting of Bayesian optimization (BO), the objective function evaluation is assumed to be highly expensive. Multi-fidelity Bayesian optimization (MFBO) accelerates BO…