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Resurrecting the Sigmoid: Theory and Practice · Depth First Learning
| | francisbach.com
Playing with positive definite matrices - II: entropy edition - Machine Learning Research Blog
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| | peterbloem.nl
The Singular Value Decomposition | peterbloem.nl
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| | randorithms.com
How to Find the Taylor Series of an Inverse Function - Randorithms
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| | The Taylor series is a widely-used method to approximate a function, with many applications. Given a function \(y = f(x)\), we can express \(f(x)\) in terms ...
| | djalil.chafai.net
How to speed up MCMC algorithms - Libres pensées d'un mathématicien ordinaire
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| Markov-Chains-Monte-Carlo (MCMC for short) methods are widely used in practice for the approximate computation of integrals on various types of spaces. More precisely, let \(\mu\) be a probability measure on \(E\), known only up to a multiplicative constant. Let \(K\) be an irreducible Markov kernel on \(E\). Then by using a classical Metropolis-Hastings type construction, one cook up a computable...