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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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| | Tutorial on automatic differentiation
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| What can automated gradient computations bring to mathematical optimizers, what does it take to compute?