Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability

Volume: 53, Issue: 9, Pages: 1558 - 1573
Published: Aug 31, 2020
Abstract
Parameter selection during the construction of surrogates is often conducted by minimizing the Mean Squared Cross-Validation Error (MSE-CV). Surrogates constructed using MSE are poorly optimized using gradient-based optimizers. Hence, Nelder–Mead like optimizers are often favoured, which is unfortunate as surrogates make analytical gradients freely available and gradient-based optimizers scale better with increasing dimension. To address this...
Paper Details
Title
Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability
Published Date
Aug 31, 2020
Volume
53
Issue
9
Pages
1558 - 1573
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