| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Surrogate Modeling | Rosenbrock 10D | Normalized RMSE0.49 | 16 | |
| Stochastic Lipschitz Optimization | Rosenbrock | Simple Regret0.034 | 10 | |
| Bayesian Optimization | Rosenbrock d=100 synthetic (round 10) | Relative Batch Instantaneous Regret0.014 | 9 | |
| Bayesian Optimization | Rosenbrock (d=50) synthetic (round 10) | Relative Batch Instantaneous Regret0.01 | 9 | |
| Bayesian Optimization | Rosenbrock (d=20) synthetic (round 10) | Relative Batch Instantaneous Regret0.004 | 9 | |
| Bayesian Optimization | Rosenbrock d=10 round 10 synthetic | Relative Batch Instantaneous Regret0.002 | 9 | |
| Bayesian Optimization | Rosenbrock (d=2) synthetic (round 10) | Relative Batch Instantaneous Regret0.001 | 9 | |
| 2D Synthetic Target Sampling | ROSENBROCK 2D Synthetic | KSD0.053 | 8 | |
| Empirical Coverage Estimation | Rosenbrock6 | Empirical Coverage (90%)91 | 7 | |
| Global Optimization | Rosenbrock D=4, T=96 | Stopping Time34 | 6 | |
| Bayesian Optimization | Rosenbrock d+1=3 | Average Regret3.81 | 6 | |
| Global Optimization | Rosenbrock 1000D (test) | Fitness (Mean)5,870,800 | 5 | |
| Global Optimization | Rosenbrock 10-dimensional | Final Error0.39 | 5 | |
| Level Set Estimation | Rosenbrock 1000-dimensional | Runtime (min)6.1 | 4 | |
| Global Optimization | Rosenbrock 5D (30 runs) | Rank1 | 4 | |
| Bayesian Optimization | Noise-free synthetic problems (Rosenbrock) d=10 1.0 (test) | Relative Batch Instantaneous Regret0.003 | 4 | |
| Trajectory Learning | Rosenbrock 16D | Mean DTWD2.57 | 3 | |
| Trajectory Learning | Rosenbrock 8D | Mean DTWD1.22 | 3 | |
| Level Set Estimation | Rosenbrock1000 | Wilcoxon p-value (Random)0.0117 | 2 | |
| Top-k | Rosenbrock (k = 6) (test) | Runtime (s)0.92 | 2 | |
| Function Optimization | 4D Rosenbrock Coarse threshold | Convergence Rate0 | 1 |