Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem

Gonzalo Mena, Jonathan Niles-Weed

Feb-12-2026, 07:18:17 GMT–Neural Information Processing Systems

These results give the first characterization of the large-sample behavior of entropic OT for unbounded probability measures in arbitrary dimension.

artificial intelligence, machine learning, probability measure, (18 more...)

Neural Information Processing Systems

Feb-12-2026, 07:18:17 GMT

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Country:
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  - British Columbia > Metro Vancouver Regional District > Vancouver (0.04)

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Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem

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