Parallel black-box optimization of expensive high-dimensional multimodal functions via magnitude
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Abstract (arXiv)
Building on the recently developed theory of magnitude, we introduce the optimization algorithm EXPLO2 and carefully benchmark it. EXPLO2 advances the state of the art for optimizing high-dimensional (D gtrapprox 40) multimodal functions that are expensive to compute and for which derivatives are not available, such as arise in hyperparameter optimization or via simulations.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jan 2022.
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Citing papers per year: 2022: 1; 2023: 1.
2 papers.
- 2023Metric Space Magnitude for Evaluating the Diversity of Latent Representations27 Nov 2023
- 2022Quality-diversity in dissimilarity spaces14 Nov 2022