pith:JN7JPMFP
Breaking the Finite-Sample Barrier in Entropy Coupling
Dependence among fixed-marginal observations can drive conditional entropy to zero after finitely many samples.
arxiv:2605.16229 v1 · 2026-05-15 · cs.IT · math.IT · math.ST · stat.ML · stat.TH
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Claims
Under mild support assumptions, zero entropy is achieved with O(log(1/P_min)) observations, where P_min is the minimum nonzero mass of P; dependent observations can eliminate residual uncertainty exactly after finitely many samples.
The characterization of the zero-entropy regime relies on mild support assumptions for the discrete marginals and the enlarged coupling space allowing arbitrary dependence among the Y_i while preserving each marginal exactly.
Minimum list entropy coupling shows dependent observations can achieve zero residual entropy with O(log(1/P_min)) samples under mild support assumptions, with applications to exact recovery in representation learning and randomness extraction.
References
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| First computed | 2026-05-20T00:01:59.071108Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/JN7JPMFPAMAHJ27JG2BZ7QYWGC \
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Canonical record JSON
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