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Regression on UCI NAVAL (test)

-7.21Negative Log LikelihoodFVI
-7.8856-3.32531.2355.7953Feb 16, 2021Jan 3, 2022Nov 21, 2022Oct 9, 2023Aug 26, 2024Jul 14, 2025Jun 1, 2026

Evaluation results

MethodLinks
FVIN=11934, D=162026.04-7.21—
GWI-DNNN=11934, D=162026.04-6.76—
BNNtrials=20, train-test split=0.8-0.22022.07-6.12—
Δ-UQtrials=20, train-test split=0.8-0.22022.07-5.86—
DEnstrials=20, train-test split=0.8-0.22022.07-5.17—
PBPtrials=20, train-test split=0.8-0.22022.07-4.85—
GP-RBFtype=non-parametric2026.05-4.612—
VIPalpha=0.52026.06-4.47912.9
MCDtrials=20, train-test split=0.8-0.22022.07-4.45—
FTIPalpha=0.52026.06-4.23217
Bethe-Diaginference_cost=single-pass2026.05-3.141—
DRLEMethod Class=ID-GVI2023.05-3.04—
α=0.5N=11934, D=162026.04-2.97—
TFSVIalpha=0.52026.06-2.9749.5
BBBN=11934, D=162026.04-2.8—
Deep Ensembleinference_cost=multi-pass, ensemble_size=52026.05-2.8—
MAPinference_cost=single-pass2026.05-2.797—
Laplace-Fullinference_cost=single-pass2026.05-2.797—
MC Dropoutinference_cost=multi-pass, samples=502026.05-2.797—
FBNNalpha=0.52026.06-2.7976.4
MFVIalpha=0.52026.06-2.7975.3
Bethe-Obs2026.05-2.735—
VBLLinference_cost=single-pass2026.05-2.593—
Bethe-FGinference_cost=single-pass2026.05-2.052—
LaplaceData Normalization=non-normalized2025.12-1.43—
LA-TNKMN=11934, D=162026.04-1.16—
DEMethod Class=ID-GVI2023.05-0.4—
TAGIData Normalization=non-normalized2025.12-0.2—
SP-BTNN=11934, D=162026.041.37—
MF-BTNN=11934, D=162026.041.42—
VMG2021.022.46—
HABNNData Normalization=non-normalized2025.122.88—
DLEMethod Class=ID-GVI2023.053.46—
MNF2021.023.96—
BBB2021.024.61—
SLANG2021.024.76—
MCD2021.024.76—
VD2021.024.81—
VSD2021.024.83—
D.E2021.025.63—
SVIData Normalization=non-normalized2025.128.27—
KBNNData Normalization=non-normalized2025.129.68—