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News/Calibrating Generative Models to Distributional Constraints
arxiv
PublishedMay 29, 2026 at 4:00 AM
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Calibrating Generative Models to Distributional Constraints

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Publisher summary· verbatim

arXiv:2510.10020v4 Announce Type: replace-cross Abstract: Generative models frequently suffer miscalibration, wherein statistics of the sampling distribution, such as the fraction of generations in a given class, deviate from desired values. We frame calibration as a constrained optimization problem

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arxiv
Read original ↗All from arxiv →
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#machine-learning#calibration#optimization#generative-models

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