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The Stein identity constructs an expectation expression that does not depend on the normalization constant; even if the normalization constant Z is unknown, the score function can still be computed, which makes Stein methods suitable for scenarios requiring inference on unnormalized distributions (such as Bayesian posteriors and energy models).
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10/13/2026
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