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University of Cambridge > Talks.cam > Logic and Semantics Seminar (Computer Laboratory) > The linear operator semantics of probabilistic programs
The linear operator semantics of probabilistic programsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Jamie Vicary. In this tutorial I will present a semantics for probabilistic programs in terms of linear operators. Mathematically, this is the natural universe in which to talk about probabilistic transition systems – both discrete and continuous – and it therefore makes sense to target this universe when defining a denotational semantics for probabilistic programming languages. I will describe how both higher-order functions and Bayesian inference can be interpreted in this framework. The focus of the tutorial will be on the discrete case which amounts to manipulating matrices, but I will also sketch some of the mathematics behind the general case. The linear operator semantics of probabilistic programs is originally due to Dexter Kozen, and the recent developments that I will describe in this talk are joint work with him too. If time permits, I will also mention some ongoing work on the operational semantics of probabilistic programs. This talk is part of the Logic and Semantics Seminar (Computer Laboratory) series. This talk is included in these lists:
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