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Probability Theory and Machine Learning

Posts about Probability Theory and Machine Learning

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Hybrid Generative-Discriminative Deep Models

Deep discriminative classifiers perform remarkably well on problems with a lot of labeled data. So-called deep generative models tend to excel when labeled training data is scarce. Can...

Björn Smedman in Probability 20 minutes

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Variational Coin Toss

Variational inference is all the rage these days, with new interesting papers coming out almost daily. But diving straight into Huszár (2017) or Chen et al...

Björn Smedman in Probability 30 minutes

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