Bayesian Optimization on GP-sampled functions (sigma=5x10^-3, D=6)
13.5Mean Stopping Iteration∆ES
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ∆ESKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 13.5 | 28 | 0.1614 | |
| PRBKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 21 | 54 | 0.1121 | |
| ∆CBKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 24.7 | 62 | 0.0793 | |
| OraclerKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 25.6 | 100 | 0.0633 | |
| UCBbrKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 40.4 | 90 | 0.0373 | |
| AcqKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 242.5 | 58 | 0.1059 | |
| NOSTOPKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 512 | 100 | 0.0124 |