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20222026
most citedExpert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference

16 citations · 37 across the 6 of their papers we have counts for

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cs.LG2025

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning

Zheyu Zhang, Jiayuan Dong, Jie Liu +1

We present GO-CBED, a goal-oriented Bayesian framework for sequential causal experimental design. Unlike conventional approaches that select interventions aimed at inferring the fu…

cs.LG2024★ 13 cited

Variational Bayesian Optimal Experimental Design with Normalizing Flows

Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi +4

Bayesian optimal experimental design (OED) seeks experiments that maximize the expected information gain (EIG) in model parameters. Directly estimating the EIG using nested Monte C…