3 citations · 4 across the 6 of their papers we have counts for
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cs.PL2023★ 3 cited
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar +5
We study semantic models of probabilistic programming languages over graphs, and establish a connection to graphons from graph theory and combinatorics. We show that every well-beh…
cs.LO2023
Proceedings of the Sixth International Conference on Applied Category Theory 2023
Sam Staton, Christina Vasilakopoulou
The Sixth International Conference on Applied Category Theory took place at the University of Maryland, 31 July -- 4 August 2023. This conference follows the previous meetings at L…
cs.PL2023★ 1 cited
A model of stochastic memoization and name generation in probabilistic programming: categorical semantics via monads on presheaf categories
Younesse Kaddar, Sam Staton
Stochastic memoization is a higher-order construct of probabilistic programming languages that is key in Bayesian nonparametrics, a modular approach that allows us to extend models…