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How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing

arXiv:2609.21813v1 Announce Type: new Abstract: In classification-oriented adaptive sensing, posterior samples characterize uncertainty at the current measurement state and can serve two roles: they may guide the next sensing direction, while their class labels provide votes for the candidate class…

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  1. 2026-09-21 04:00 · arXiv stat.ML
    How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing

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