Bayesian Optimization on Hartmann d=6 synthetic (round 10)
6Relative Batch Instantaneous RegretmeanBEEBO
Evaluation Results
| Method | Links | |
|---|---|---|
| meanBEEBOsqrt(kappa)=0.1, Batch Size (Q)=100, Round=102024.10 | 6 | |
| meanBEEBOsqrt(kappa)=1, Batch Size (Q)=100, Round=102024.10 | 7.8 | |
| maxBEEBOsqrt(kappa)=1, Batch Size (Q)=100, Round=102024.10 | 8.6 | |
| maxBEEBOsqrt(kappa)=10, Batch Size (Q)=100, Round=102024.10 | 9.8 | |
| meanBEEBOsqrt(kappa)=10, Batch Size (Q)=100, Round=102024.10 | 10 | |
| maxBEEBOsqrt(kappa)=0.1, Batch Size (Q)=100, Round=102024.10 | 22.9 | |
| q-UCBsqrt(kappa)=10, Batch Size (Q)=100, Round=102024.10 | 86.2 | |
| q-UCBsqrt(kappa)=0.1, Batch Size (Q)=100, Round=102024.10 | 96.8 | |
| q-UCBsqrt(kappa)=1, Batch Size (Q)=100, Round=102024.10 | 97.1 |