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www.nowozin.net
| | djalil.chafai.net
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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...
| | cgad.ski
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| | tiao.io
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| | One weird trick to make exact inference in Bayesian logistic regression tractable.
| | www.aidancooper.co.uk
23.9 parsecs away

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| In this article, we will explore how Shapley values work - not using cryptic formulae, but by way of code and simplified explanations.