New Method Handles Distribution Matching When Measurement Error Is Unknown

An arXiv paper introduces an approach for distribution matching in machine learning when measurement error is unknown, using an audit sample to correct noisy sensors or non-expert annotations.

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2026-11-13 05:00 · arXiv stat.ML
Don't Match the Noise: Distribution Matching under Unknown Measurement Error with an Audit Sample

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