A Kernel for Hierarchical Parameter Spaces
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Abstract (arXiv)
We define a family of kernels for mixed continuous/discrete hierarchical parameter spaces and show that they are positive definite.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Oct 2013.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 1.
4 papers.
- 2021HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPOcited by 111
- 2023SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processescited by 27
- 2024A distance for mixed-variable and hierarchical domains with meta variablescited by 4
- 2025Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Designcited by 3
- 2025Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design27 Jun 2025
- 2024A distance for mixed-variable and hierarchical domains with meta variables20 May 2024
- 2023SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes23 May 2023
- 2021HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO14 Sep 2021