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Numerical optimizers for Logistic Regression
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Pólya-Gamma Augmentation
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A Pythonic data science project: Part III | ??
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| | Learning by doing: predicting the outcome.
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Eric Ekholm - MLE Learning Out Loud 2: Logistic Regression
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| | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of)
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On the Convergence of the Unadjusted Langevin Algorithm
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| The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ...