Regression on UCI POWER (test)
-2.86Negative Log LikelihoodBBB
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BBB2021.02 | -2.86 | — | — | — | |
| MNF2021.02 | -2.86 | — | — | — | |
| SLANG2021.02 | -2.84 | — | — | — | |
| VMG2021.02 | -2.82 | — | — | — | |
| VD2021.02 | -2.82 | — | — | — | |
| MCD2021.02 | -2.79 | — | — | — | |
| D.E2021.02 | -2.79 | — | — | — | |
| VSD2021.02 | -2.79 | — | — | — | |
| DGPdepth=22021.07 | -2.78 | — | — | — | |
| DGPdepth=42021.07 | -2.78 | — | — | — | |
| DGPdepth=52021.07 | -2.78 | — | — | — | |
| DIWPdepth=42021.07 | -2.78 | — | — | — | |
| DWPdepth=22021.07 | -2.77 | — | — | — | |
| DWPdepth=32021.07 | -2.77 | — | — | — | |
| DWPdepth=42021.07 | -2.77 | — | — | — | |
| DWPdepth=52021.07 | -2.77 | — | — | — | |
| DGPdepth=32021.07 | -2.77 | — | — | — | |
| PBPtrials=20, train-test split=0.8-0.22022.07 | 2.78 | — | — | — | |
| SIVIruns=102026.01 | 2.791 | 3.861 | — | — | |
| KSIVIruns=102026.01 | 2.797 | 3.868 | — | — | |
| MCDtrials=20, train-test split=0.8-0.22022.07 | 2.8 | — | — | — | |
| VIPalpha=0.52026.06 | 2.82 | — | — | 12.9 | |
| SIVI-SMruns=102026.01 | 2.822 | 4.009 | — | — | |
| Δ-UQtrials=20, train-test split=0.8-0.22022.07 | 2.83 | — | — | — | |
| FTIPalpha=0.52026.06 | 2.83 | — | — | 17 | |
| BNNtrials=20, train-test split=0.8-0.22022.07 | 2.85 | — | — | — | |
| GP-RBFtype=non-parametric2026.05 | 2.858 | — | — | — | |
| Bethe-Obs2026.05 | 2.875 | — | — | — | |
| Bethe-FGinference_cost=single-pass2026.05 | 2.876 | — | — | — | |
| Bethe-Diaginference_cost=single-pass2026.05 | 2.892 | — | — | — | |
| VBLLinference_cost=single-pass2026.05 | 2.902 | — | — | — | |
| MC Dropoutinference_cost=multi-pass, samples=502026.05 | 2.922 | — | — | — | |
| MAPinference_cost=single-pass2026.05 | 2.923 | — | — | — | |
| Laplace-Fullinference_cost=single-pass2026.05 | 2.923 | — | — | — | |
| Deep Ensembleinference_cost=multi-pass, ensemble_size=52026.05 | 2.923 | — | — | — | |
| TFSVIalpha=0.52026.06 | 2.93 | — | — | 49.5 | |
| SGLDruns=102026.01 | 2.944 | 3.916 | — | — | |
| DEnstrials=20, train-test split=0.8-0.22022.07 | 3.18 | — | — | — | |
| MFVIalpha=0.52026.06 | 4 | — | — | 5.3 | |
| FBNNalpha=0.52026.06 | 4.03 | — | — | 6.4 | |
| DEMethod Class=ID-GVI2023.05 | 13.7 | — | — | — | |
| DLEMethod Class=ID-GVI2023.05 | 13.87 | — | — | — | |
| DRLEMethod Class=ID-GVI2023.05 | 23.21 | — | — | — | |
| Evidential2025.05 | — | — | 0.9508 | — | |
| MC-Dropout2025.05 | — | — | 0.9479 | — | |
| MVEObjective Function=beta_NLL = 1.02025.05 | — | — | 0.9448 | — | |
| MVEObjective Function=Natural2025.05 | — | — | 0.9463 | — | |
| MVEInference Family=Ensembles2025.05 | — | — | 0.9493 | — | |
| MVEInference Family=BBB2025.05 | — | — | 0.1574 | — | |
| MVEInference Family=pSGLD2025.05 | — | — | 0.9476 | — | |
| VeBNNInference Family=Ensembles2025.05 | — | — | 0.9457 | — | |
| VeBNNInference Family=MC-Dropout2025.05 | — | — | 0.9462 | — | |
| VeBNNInference Family=BBB2025.05 | — | — | 0.9477 | — | |
| VeBNNInference Family=pSGLD2025.05 | — | — | 0.9492 | — |