Bayesian Optimization on GP-sampled functions sigma=5x10^-3, D=2
5.5Mean Stopping Iteration∆ES
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ∆ESKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 5.5 | 74 | 0.074 | |
| PRBKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 7.5 | 86 | 0.0425 | |
| OraclerKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 9.2 | 98 | 0.0317 | |
| ∆CBKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 11.3 | 94 | 0.0199 | |
| UCBbrKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 65 | 94 | 0.0181 | |
| AcqKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 78.8 | 86 | 0.0399 | |
| NOSTOPKernel=SE kernel, Dimension (D)=2, Budget (T)=128, Hyperparameter Knowledge=Unknown2026.05 | 128 | 98 | 0.0085 |