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Scalable Gaussian process-based transfer surrogates for hyperparameter optimization

Research article (Machine Learning, 2017) · cited 110× · AI/ML
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Scalable Gaussian process-based transfer surrogates for hyperparameter optimization

Summary

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization is a scholarly article[1].

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  • Scalable Gaussian process-based transfer surrogates for hyperparameter optimization's instance of is recorded as scholarly article[2].

Related Entities

Lars Schmidt-Thieme

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/scalable-gaussian-process-based-transfer-surrogates-for-hyperparameter-optimization
MLA “Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scalable-gaussian-process-based-transfer-surrogates-for-hyperparameter-optimization.
BibTeX @misc{4ortxyz_scalable-gaussian-process-based-transfer-surrogates-for-hyperparameter-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable Gaussian process-based transfer surrogates for hyperparameter optimization}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-gaussian-process-based-transfer-surrogates-for-hyperparameter-optimization}, note = {Accessed: 2026-05-24}}
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