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News/Counterfactual Model Testing Under Distribution Shift
arxiv
PublishedOctober 27, 2026 at 4:00 AM

Counterfactual Model Testing Under Distribution Shift

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arXiv:2610.33594v1 Announce Type: new Abstract: Deployed machine learning (ML) models can degrade as the distribution of their input data shifts. Such shifts can result from changes in the population or from data integrity issues in the pipeline that materializes model features, two sources that ope

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