| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Surrogate Modeling | Branin 2D | Normalized RMSE0.62 | 16 | |
| Offline Model-Based Optimization | Branin | 90th Percentile Oracle Score-3,468 | 16 | |
| Bayesian Optimization | Branin | Normalized Utility98.8 | 11 | |
| Active Learning | Branin (test) | RMSE0.17 | 10 | |
| Stochastic Lipschitz Optimization | Branin | Simple Regret0.014 | 10 | |
| Bayesian Optimization | Modified Branin | Final Cumulative Regret685.02 | 9 | |
| Bayesian Optimization | Branin | Mean Stopping Iteration11.9 | 7 | |
| Empirical Coverage Estimation | Branin | Empirical Coverage (90%)100 | 7 | |
| Continuous Optimisation | Branin 02 | Mean Best Fitness6.04 | 6 | |
| Continuous Optimisation | Branin 02 | Best Fitness0 | 6 | |
| Continuous Optimization | Branin 02 | Std Dev of Mean Best Fitness0.404 | 6 | |
| Global Optimization | Branin D=2, T=128 | Stopping Time19 | 6 | |
| Meta-Regression | Rand. Branin (meta-test) | Test Log-Likelihood-1.854 | 6 | |
| Meta-Learning | Rand. Branin (meta-test) | Calibration Error0.095 | 6 | |
| Global Optimization | Branin | Best Objective Value-0.041 | 6 | |
| Predictive Distribution Evaluation | Branin 4000 points (test) | KS-PIT0.11 | 5 | |
| Sequential optimization | Branin Dim 2 | AUC67 | 5 | |
| Main-effect function estimation | branin High dependence Synthetic | ORMSE0.732 | 3 | |
| Main-effect function estimation | branin Low dependence Synthetic | ORMSE0.434 | 3 | |
| Main-effect function estimation | branin Independent Synthetic | ORMSE0.105 | 3 |