DifferentiableAnnealedImportanceSampling andthePerilsofGradientNoise

Feb-10-2026, 09:00:47 GMT–Neural Information Processing Systems

Marginal likelihood (ML), sometimes calledevidence, is a central quantity in Bayesian learning as it measures how well a model can describe a particular dataset.

artificial intelligence, machine learning, transition, (18 more...)

Neural Information Processing Systems

Feb-10-2026, 09:00:47 GMT

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