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High-dimensional Bayesian Optimization on SVM D=388

0.056Objective ValueKernel Discovery
0.049120.095560.1420.18844May 18, 2026

Evaluation results

MethodLinks
Kernel DiscoveryMethod Category=Ours2026.050.0561.2
RBFMethod Category=Base Kernels2026.050.0616.6
Matérn52Method Category=Base Kernels2026.050.0636.8
Greedy SearchMethod Category=Search-based2026.050.0666.1
Compositional SearchMethod Category=Search-based2026.050.0674.4
BOCKMethod Category=Base Kernels2026.050.0686.1
RQMethod Category=Base Kernels2026.050.0696.6
TREvolMethod Category=LLM-based2026.050.07911.6
TROptMethod Category=LLM-based2026.050.117.8
SLMethod Category=Base Kernels2026.050.1128.2
CAKEMethod Category=Search-based2026.050.1319.8
TRParetoMethod Category=LLM-based2026.050.18510
ATRBOMethod Category=LLM-based2026.050.22115.2
LinearMethod Category=Base Kernels2026.050.22613
PeriodicMethod Category=Base Kernels2026.050.22615
LMABOMethod Category=LLM-based2026.050.22612.6
ARMMethod Category=LLM-based2026.050.22812