Monotonic Bayesian Neural Network Classification on COMPAS (test)
0OOD RatioC-SVGD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| C-SVGDepsilon=0.052024.10 | 0 | — | — | |
| CFGepsilon=0.052024.10 | 0 | — | — | |
| C-SVGDepsilon=0.012024.10 | 0 | — | — | |
| CFGepsilon=0.012024.10 | 0 | — | — | |
| C-SVGDepsilon=0.0052024.10 | 0 | — | — | |
| CFGepsilon=0.0052024.10 | 0 | — | — | |
| PD-SVGDMonotonicity threshold (epsilon)=0.052024.10 | 0 | 61.8 | 0.639 | |
| MIEDMonotonicity threshold (epsilon)=0.052024.10 | 0 | 56.8 | 0.665 | |
| CFGMonotonicity threshold (epsilon)=0.052024.10 | 0 | 64.9 | 0.637 | |
| C-SVGDMonotonicity threshold (epsilon)=0.012024.10 | 0 | 63.8 | 0.631 | |
| CFGMonotonicity threshold (epsilon)=0.012024.10 | 0 | 65.1 | 0.64 | |
| C-SVGDMonotonicity threshold (epsilon)=0.0052024.10 | 0 | 63.8 | 0.631 | |
| CFGMonotonicity threshold (epsilon)=0.0052024.10 | 0 | 65.3 | 0.637 | |
| C-SVGDMonotonicity threshold (epsilon)=0.052024.10 | 2 | 63.9 | 0.63 | |
| MIEDMonotonicity threshold (epsilon)=0.012024.10 | 2 | 56.9 | 0.664 | |
| MIEDMonotonicity threshold (epsilon)=0.0052024.10 | 2 | 57.1 | 0.664 | |
| PD-SVGDMonotonicity threshold (epsilon)=0.012024.10 | 13 | 61.8 | 0.639 | |
| PD-SVGDMonotonicity threshold (epsilon)=0.0052024.10 | 24 | 61.8 | 0.639 | |
| PD-SVGDepsilon=0.052024.10 | 50 | — | — | |
| PD-SVGDepsilon=0.012024.10 | 200 | — | — | |
| PD-SVGDepsilon=0.0052024.10 | 200 | — | — | |
| MIEDepsilon=0.052024.10 | 300 | — | — | |
| MIEDepsilon=0.012024.10 | 500 | — | — | |
| MIEDepsilon=0.0052024.10 | 600 | — | — |