Author

Lindon Roberts

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Preprint Aug 2026

A note on the complexity of random subspace model-based methods for derivative-free optimization

We demonstrate that, with a suitable rescaling, using Johnson-Lindenstrauss transforms (JLTs) in the random subspace model-based derivative-free optimization (DFO) algorithm from [Cartis&Roberts, Math. Prog. 199 (2023)] achieves an improved worst-case evaluation complexity bound compared to'unscaled'JLTs. This improved...

C. Cartis, Lindon Roberts · 2 citations