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20182024
most citedConstrained global optimization of functions with low effective dimensionality using multiple random embeddings

3 citations · 3 across the 5 of their papers we have counts for

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math.OC2024

Learning the subspace of variation for global optimization of functions with low effective dimension

Coralia Cartis, Xinzhu Liang, Estelle Massart +1

We propose an algorithmic framework, that employs active subspace techniques, for scalable global optimization of functions with low effective dimension (also referred to as low-ra…