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EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

ICML 2019 · Probabilistic and scientific modeling › Molecules and proteins · approach: Counterfactual and statistical explanations · 43 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use EDDI-PNP instead of single-best variable orderingEDDI on 6 UCI datasets · 6 UCI datasetsaverage ranking of AUIC: 5.20 (0.02) -> 5.08 (0.02Helped
use EDDI-PNP instead of single-best variable orderingEDDI on MIMIC-III · MIMIC-IIIaverage ranking on AUIC: 5.39 (0.01) -> 4.39 (0.01)Helped
use EDDI-PNP instead of single-best variable orderingEDDI on NHANES · NHANESaverage ranking on AUIC: 5.17 (0.10) -> 4.80 (0.10)Helped
use EDDI-PNP instead of LASSO-PNPUCI active variable selection · 6 UCI datasetsaverage ranking of AUIC (RMSE-based): 4.41(0.02) -> 4.14(0.02)Helped
use PointNet Plus instead of PointNet (ablation)Partial VAE for MNIST inpainting · MNIST contiguous-region inpaintingTest ELBO (Reg.): -116.53 -> -113.19Helped
use PointNet Plus instead of zero-imputation VAE (ablation)Partial VAE for MNIST inpainting · MNIST random missing pixelsTest ELBO (Rnd.): -116.01 -> -114.01Helped
add an observation mask to zero-imputation VAE (ablation)Partial VAE for MNIST inpainting · MNIST random missing pixelsTest ELBO (Rnd.): -116.01 -> -118.61Hurt
use PointNet Plus instead of PointNet (ablation)EDDI on UCI datasets · 6 UCI datasetsaverage ranking of AUIC: 5.25 (0.02) -> 5.08 (0.02Helped
use PointNet Plus instead of zero-imputation (ablation)EDDI on UCI datasets · 6 UCI datasetsaverage ranking of AUIC: 5.72 (0.03) -> 5.08 (0.02Helped
use PointNet Plus instead of masked zero-imputation (ablation)EDDI on MIMIC-III · MIMIC-IIIaverage ranking on AUIC: 4.91 (0.01) -> 4.39 (0.01)Helped
use PointNet Plus instead of zero-imputation (ablation)EDDI on MIMIC-III · MIMIC-IIIaverage ranking on AUIC: 8.83 (0.01) -> 4.39 (0.01)Helped
use PointNet Plus instead of PointNet (ablation)EDDI on NHANES · NHANESaverage ranking on AUIC: 5.28 (0.10) -> 4.80 (0.10)Helped

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