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Found 3 papers, 1 papers with code
Overdrawing Urns using Categories of Signed Probabilities
A basic experiment in probability theory is drawing without replacement from an urn filled with multiple balls of different colours.
Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming
In terms of categorical probability theory, this amounts to an analysis of the situation in terms of the behaviour of the multiset functor, extended to the Kleisli category of the distribution monad.
Compositional Semantics for Probabilistic Programs with Exact Conditioning
We define a probabilistic programming language for Gaussian random variables with a first-class exact conditioning construct.
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