Regression on UCI Yacht (NLL, RMSE, ESS)
0.92NLLBPS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BPSInference=BPS2023.02 | 0.92 | 0.97 | 2.75 | 4.11 | 15.27 | |
| σBPSInference=σBPS2023.02 | 0.92 | 0.75 | 2.72 | 4.24 | 1,000 | |
| BoomerangInference=Boomerang2023.02 | 0.92 | 1 | 732.04 | 754.01 | 777.24 | |
| SGLDInference=SGLD2023.02 | 0.92 | 0.85 | 3.07 | 4.96 | 1,000 | |
| SGHMCInference=SGHMC2023.02 | 0.92 | 1.01 | 2.71 | 4.1 | 224.12 | |
| IVRS2026.06 | 1.421 | 1.065 | — | — | — | |
| SIVI-SM2026.06 | 1.432 | 0.884 | — | — | — | |
| SIVI2026.06 | 1.721 | 1.505 | — | — | — | |
| AVB2026.06 | 1.751 | 1.567 | — | — | — | |
| KSIVI2026.06 | 1.752 | 1.237 | — | — | — | |
| UIVI2026.06 | 1.808 | 1.569 | — | — | — | |
| GP-RBFtype=non-parametric2026.05 | 2.993 | — | — | — | — | |
| Bethe-FGinference_cost=single-pass2026.05 | 3.4 | — | — | — | — | |
| Deep Ensembleinference_cost=multi-pass, ensemble_size=52026.05 | 3.459 | — | — | — | — | |
| Laplace-Fullinference_cost=single-pass2026.05 | 3.504 | — | — | — | — | |
| MAPinference_cost=single-pass2026.05 | 3.509 | — | — | — | — | |
| Bethe-Diaginference_cost=single-pass2026.05 | 3.569 | — | — | — | — | |
| MC Dropoutinference_cost=multi-pass, samples=502026.05 | 3.624 | — | — | — | — | |
| VBLLinference_cost=single-pass2026.05 | 3.681 | — | — | — | — | |
| Bethe-Obs2026.05 | 3.773 | — | — | — | — |