Bayesian Neural Networks on UCI Boston (test)
2.721RMSEAda-GWG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Ada-GWGMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=10, p_0=22023.10 | 2.721 | 2.434 | |
| SVGDMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=102023.10 | 2.774 | 2.444 | |
| SVGDruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 2.775 | — | |
| SVGD2025.09 | 2.775 | — | |
| PBRWP2025.09 | 2.866 | — | |
| AIGruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 2.871 | — | |
| AIG2025.09 | 2.871 | — | |
| ARWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=10, optimization=Nesterov2026.01 | 2.902 | — | |
| SGLDMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=102023.10 | 3.011 | 2.496 | |
| L2-GFMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=10, p=22023.10 | 3.072 | 2.547 | |
| WGFruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 3.077 | — | |
| WGF2025.09 | 3.077 | — | |
| BRWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 3.309 | — | |
| BRWP2025.09 | 3.309 | — | |
| Adamruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 3.35 | — | |
| Adam2025.09 | 3.35 | — |