Regression on Concrete (Predictive MSE, Test Log Likelihood)
3.22Test Log LikelihoodBDKN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BDKNExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 3.22 | — | |
| VBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 3.37 | — | |
| GPExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=322026.07 | 3.53 | — | |
| DEExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 3.67 | — | |
| BLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 3.94 | — | |
| MFVIExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 4.03 | — | |
| LDBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 4.81 | — | |
| DKLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 13.16 | — | |
| SVTP+MCModel Variant=SVTP+MC2024.08 | 276 | 3.23 | |
| SVGP+TModel Variant=SVGP+T2024.08 | 412 | 6.12 | |
| SVTP+UBModel Variant=SVTP+UB2024.08 | 435 | 5.71 | |
| SVGPModel Variant=SVGP2024.08 | 478 | 7.48 |