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Yu, Longlin, Zhang, Cheng , month = sep, year =

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stat.ML 1

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2026 1

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Bayesian Experimental Design via Score Matching

stat.ML · 2026-07-09 · conditional · novelty 7.0

SCOREBED isolates EIG double intractability in a policy-independent score-matching stage, then trains design policies with a singly intractable gradient estimator, enabling cheap multi-policy selection.

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  • Bayesian Experimental Design via Score Matching stat.ML · 2026-07-09 · conditional · none · ref 31

    SCOREBED isolates EIG double intractability in a policy-independent score-matching stage, then trains design policies with a singly intractable gradient estimator, enabling cheap multi-policy selection.