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Regularization Pdf

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Preview of Loss as Model Inconsistency
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Loss as Model Inconsistency (richardson22b.pdf)

717 KBEN 30 pages
Richardson argues that loss function choice in probabilistic dependency graphs (PDGs) should align with the model, not personal preference. He shows that many standard loss functions and statistical divergences can be derived from PDG inconsistency, offering intuitive visual...
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model inconsistency richardson argues function choice probabilistic dependency graphs align personal preference standard functions statistical divergences derived offering intuitive visual language clarifying evidence lower bound variational inference

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