A Convenient Category for Higher-Order Probability Theory

10 Jan 2017Chris HeunenOhad KammarSam StatonHongseok Yang

Higher-order probabilistic programming languages allow programmers to write sophisticated models in machine learning and statistics in a succinct and structured way, but step outside the standard measure-theoretic formalization of probability theory. Programs may use both higher-order functions and continuous distributions, or even define a probability distribution on functions... (read more)

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