List your company

Regression on UCI WINE (test)

-0.97Negative Log LikelihoodBBB
-55.1288310.4431676.0151,041.5869Feb 16, 2021Jan 3, 2022Nov 21, 2022Oct 9, 2023Aug 26, 2024Jul 14, 2025Jun 1, 2026

Evaluation results

MethodLinks
BBB2021.02-0.97—
SLANG2021.02-0.97—
VMG2021.02-0.95—
VSD2021.02-0.95—
VD2021.02-0.94—
D.E2021.02-0.94—
MNF2021.02-0.93—
MCD2021.02-0.92—
GP-RBFtype=non-parametric2026.050.165—
Δ-UQtrials=20, train-test split=0.8-0.22022.070.91—
MCDtrials=20, train-test split=0.8-0.22022.070.93—
FTIPalpha=0.52026.060.9517
Bethe-Diaginference_cost=single-pass2026.050.959—
Bethe-FGinference_cost=single-pass2026.050.959—
VIPalpha=0.52026.060.9612.9
MC Dropoutinference_cost=multi-pass, samples=502026.050.967—
DEnstrials=20, train-test split=0.8-0.22022.070.97—
PBPtrials=20, train-test split=0.8-0.22022.070.97—
Laplace-Fullinference_cost=single-pass2026.050.972—
MAPinference_cost=single-pass2026.050.973—
Deep Ensembleinference_cost=multi-pass, ensemble_size=52026.050.973—
Bethe-Obs2026.050.977—
VBLLinference_cost=single-pass2026.050.998—
BNNtrials=20, train-test split=0.8-0.22022.071—
TFSVIalpha=0.52026.061.0349.5
FBNNalpha=0.52026.061.146.4
MFVIalpha=0.52026.061.145.3
MCMCData Normalization=non-normalized2025.121.21—
HABNNData Normalization=non-normalized2025.122.89—
SVIData Normalization=non-normalized2025.123.51—
KBNNData Normalization=non-normalized2025.124.97—
TAGIData Normalization=non-normalized2025.125.86—
DRLEMethod Class=ID-GVI2023.057.13—
DLEMethod Class=ID-GVI2023.0513.73—
DEMethod Class=ID-GVI2023.0514.65—
DropoutData Normalization=non-normalized2025.1246.42—
LaplaceData Normalization=non-normalized2025.12247.9—
PBPData Normalization=non-normalized2025.121,353—