Bayesian Optimization on GP-sampled functions sigma=3x10^-3, D=6
13.6Mean Stopping Iteration∆ES
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ∆ESKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 13.6 | 42 | 0.1161 | |
| PRBKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 15.1 | 56 | 0.0944 | |
| ∆CBKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 17.5 | 70 | 0.0673 | |
| OraclerKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 17.6 | 100 | 0.0517 | |
| UCBbrKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 27.6 | 90 | 0.0309 | |
| AcqKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 242.5 | 58 | 0.0825 | |
| NOSTOPKernel=SE kernel, Dimension (D)=6, Budget (T)=512, Hyperparameter Knowledge=Unknown2026.05 | 512 | 100 | 0.0057 |