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May, 2022
通过独立二元逼近实现分类模型的易于变分推断
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
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Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes
TL;DR
我们定义了一种新的分类数据GLMs类称为二进制转分类(CB)模型,该模型每个类别的似然性都受到二进制似然性乘积的约束,这种近似使得推理变得简单和快速。
Abstract
We pursue tractable
bayesian analysis
of
generalized linear models
(
glms
) for
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