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Probabilistic Logic Programming with Beta-Distributed Random Variables

AAAI 2019 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Exact inference for probabilistic programs · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Friends & Smokers, N_ins=10actual RMSE: 0.1514 -> 0.1014Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Friends & Smokers, N_ins=50actual RMSE: 0.1123 -> 0.0620Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Friends & Smokers, N_ins=100actual RMSE: 0.1253 -> 0.0641Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Net1, N_ins=10actual RMSE: 0.2078 -> 0.1505Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Net2, N_ins=10actual RMSE: 0.2089 -> 0.1387Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Net3, N_ins=10actual RMSE: 0.2111 -> 0.1566Helped
Use moment-matched Beta operators instead of standard subjective logic operators (ablation)aProbLog · Net3, N_ins=50actual RMSE: 0.0548 -> 0.0697Hurt
Use moment-matched Beta operators instead of standard subjective logic operatorsaProbLog · Net1, N_ins=50actual RMSE: 0.0555 vs 0.0553No clear effect
Use moment-matched Beta operators instead of standard subjective logic operatorsaProbLog · Net2, N_ins=50actual RMSE: 0.0537 vs 0.0528No clear effect
Use moment-matched Beta operators instead of standard subjective logic operatorsaProbLog · Net2, N_ins=100actual RMSE: 0.0730 vs 0.0726No clear effect
Use moment-matched Beta operators instead of standard subjective logic operatorsaProbLog · Net3, N_ins=100actual RMSE: 0.0745 vs 0.0743No clear effect

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