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Deriving Probability Density Functions from Probabilistic Functional Programs

The probability density function of a probability distribution is a fundamental concept in probability theory and a key ingredient in various widely used machine learning methods. However, the necessary framework for compiling probabilistic functional programs to density functions has only recently&nbsp;[&hellip;]