| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Friedman 10 | RMSE0.0484 | 36 | |
| Regression | Friedman 5 | RMSE0.0729 | 36 | |
| Regression | Friedman Correlated (test) | RMSE1.049 | 12 | |
| Regression | Friedman Uncorrelated (test) | RMSE1.106 | 12 | |
| Regression | Friedman 10 | Negative Log Predictive Density2.83 | 12 | |
| Regression | Friedman 5 | Neg Log Pred Density2.96 | 12 | |
| Contextual Bandit Simulation | Friedman3 | Final Cumulative Regret422.7 | 6 | |
| Contextual Bandit Simulation | Friedman 2 | Final Cumulative Regret134.6 | 6 | |
| Contextual Bandit Simulation | Friedman | Final Cumulative Regret687.8 | 6 | |
| Contextual Bandit Simulation | Friedman Heteroscedastic | Cumulative Regret715.5 | 6 | |
| Contextual Bandit Simulation | Friedman Sparse | Final Cumulative Regret814.2 | 6 | |
| Contextual Bandit Simulation | Friedman Sparse and Disjoint | Final Cumulative Regret660.1 | 6 | |
| Predictive Density Estimation | Friedman 10 Laplace noise 15% Corruptions | Negative Log Predictive Density-1.44 | 6 | |
| Predictive Density Estimation | Friedman 10 Student-t noise 15% Corruptions | Neg Log Pred Density-1.4 | 6 | |
| Predictive Density Estimation | Friedman 10 Constant noise 15% Corruptions | Neg Log Pred Density-1.27 | 6 | |
| Predictive Density Estimation | Friedman 10 Uniform noise 15% Corruptions | NLL-1.82 | 6 | |
| Predictive Density Estimation | Friedman 5 Student-t noise 15% Corruptions | NLL (Predictive Density)-1.11 | 6 | |
| Predictive Density Estimation | Friedman 5 Constant noise, 15% Corruptions | Neg Log Pred Density-1.13 | 6 | |
| Predictive Density Estimation | Friedman 5 Uniform noise 15% Corruptions | Neg Log Pred Density-1.35 | 6 |