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ResearchFormerly WizWand

Regression on Energy (RMSE)

0.112RMSEWW-DP-SGD
-0.132921.520293.17354.82671Jun 15, 2022Feb 7, 2023Oct 2, 2023May 26, 2024Jan 18, 2025Sep 12, 2025May 8, 2026
Updated 5mo ago

Evaluation results

MethodLinks
WW-DP-SGDPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.112
DP-Adam-ACPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.116
ADP-AdamWPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.118
DP-AdamPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.12
DP-ISPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.121
DP-SAMPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.122
DP-SATPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.123
DP-SGDPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.020.128
CARD2022.060.52
VBLL2026.050.531
Bethe-Obs2026.050.571
GCDS2022.060.64
Bethe-FG2026.050.689
Bethe-FG-FS2026.050.689
Bethe-Diag2026.050.734
Bethe-Diag-FS2026.050.734
Deep Ensemble2026.051.215
MAP2026.051.233
Laplace-Full2026.051.233
MC Dropout2026.051.244
PBP2022.061.58
MC Dropout2022.061.7
Deep Ensembles2022.062.02
GP-RBF2026.056.235