Variational Inference: Foundations and Modern Methods
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Variational Inference: Foundations and Modern Methods
One of the core problems of modern statistics and machine learning is to approximate difficult-to-compute probability distributions. This problem is especially important in probabilistic modeling, which frames all inference about unknown quantities as a calculation about a conditional distribution. In this tutorial we review and discuss ...
Jun 5, 2024
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