Hartmann
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Surrogate Modeling | Hartmann 6D | Normalized RMSE0.63 | 16 | |
| Surrogate Modeling | Hartmann 3D | Normalized RMSE0.26 | 16 | |
| Stochastic Lipschitz Optimization | Hartmann | Simple Regret (x10^-2)0.027 | 9 | |
| Bayesian Optimization | Hartmann d=6 synthetic (round 10) | Relative Batch Instantaneous Regret6 | 9 | |
| Bayesian Optimization | Hartmann d=6 | Relative Batch Instantaneous Regret0.32 | 8 | |
| Global Optimization | Hartmann 6 (D=6, T=64) | Stopping Time26 | 6 | |
| Global Optimization | Hartmann 3 D=3, T=64 | Stopping Time14 | 6 | |
| Bayesian Optimization | Hartmann3 d+1=3 | Average Regret0.26 | 6 | |
| Meta-Learning | Rand. Hartmann6 (meta-test) | Calibration Error0.044 | 6 | |
| Black-box Optimization | Hartmann | Best Observed Value3.863 | 5 | |
| Sequential optimization | Hartmann Dim 6 | AUC27 | 5 | |
| Sequential optimization | Hartmann Dim 3 | AUC68 | 5 | |
| Synthetic Function Optimization | Hartmann 6D (500 evaluations) | Mean Objective Value2.619 | 4 | |
| Synthetic Function Optimization | Hartmann 300 evaluations 6D | Mean Objective Value2.857 | 4 | |
| Bayesian Optimization | Embedded Hartmann 6 (d=100) | Relative Batch Instantaneous Regret0.035 | 3 | |
| Local Optimization | Hartmann 6D (test) | Runtime (s)0.37 | 2 |
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