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www.ethanepperly.com | ||
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fa.bianp.net
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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 ... | |
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jaketae.github.io
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| | | | | Note: This blog post was completed as part of Yale's CPSC 482: Current Topics in Applied Machine Learning. | |
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djalil.chafai.net
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| | | | | This post is devoted to a concentration inequality of Lipschitz functions for a class of projected probability distributions on the unit sphere of $\mathbb{R}^n$, $n\geq2$, \[ \mathbb{S}^{n-1}=\Bigl\{x\in\mathbb{R}^n:|x|:=\sqrt{x_1^2+\cdots+x_n^2}=1\Bigr\}. \] We take this opportunity to recall various aspects of concentration for Gaussians. Concentration. Let... | |
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tiao.io
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| | | An in-depth practical guide to variational encoders from a probabilistic perspective. | ||
