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Beyond Second-Order Information: Paid Logistic Regression with Noisy Features

arXiv:2610.12919v1 Announce Type: new Abstract: We consider online binary prediction with paid stochastic features, where the learner can spend resources to obtain better observations of the underlying features. This setting is motivated by applications such as medical testing, where additional cos…

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  1. 2026-10-12 04:00 · arXiv stat.ML
    Beyond Second-Order Information: Paid Logistic Regression with Noisy Features

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