Uniform distribution
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Distribution Learning | Uniform distribution rho = 1 | Wasserstein Distance Error0.023 | 48 | |
| Capacitated Vehicle Routing Problem | Uniform Distribution n=1000 (test) | Objective Value36.289 | 14 | |
| Capacitated Vehicle Routing Problem | Uniform Distribution n=500 (test) | Objective Value36.561 | 14 | |
| Capacitated Vehicle Routing Problem | Uniform Distribution n=200 (test) | Objective Value19.946 | 14 | |
| Capacitated Vehicle Routing Problem | Uniform Distribution n=100 (test) | Objective Value15.564 | 14 | |
| Traveling Salesman Problem | Uniform Distribution n=1000 (test) | Objective Value23.12 | 13 | |
| Traveling Salesman Problem | Uniform Distribution n=200 (test) | Objective Value10.704 | 13 | |
| Threshold Tightness Evaluation | Uniform distribution U(0, 1) (BF16) | Actual Diff0.841 | 10 | |
| Rank correlation estimation | Uniform distribution | Spearman's Rho1 | 8 | |
| Empirical convergence rate estimation | Uniform distribution | Alpha (Empirical Convergence Rate)1.251 | 6 | |
| Linear Contextual Bandit | Uniform distribution | Average Runtime (s)3.62 | 4 | |
| Detecting Truncation | Uniform distribution on {0, 1}^d | Computational Complexity1 | 3 | |
| Low-degree approximation | Uniform distribution | L1 Approximation Degree1 | 1 |
Showing 13 of 13 rows