Synthetic topology in Homotopy Type Theory for probabilistic programming

Synthetic topology in Homotopy Type Theory for probabilistic programming
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概率规划的同伦类型论中的综合拓扑

DOI:
10.1017/s0960129521000165
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发表时间:
2019
期刊:
Math. Struct. Comput. Sci.
影响因子:
--
通讯作者:
Bas Spitters
Bas Spitters
中科院分区:
--
文献类型:
--
作者:
Florian Faissole;Bas Spitters

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The ALEA Coq library formalizes measure theory based on a variant of the Giry monad on the category of sets. This enables the interpretation of a probabilistic programming language with primitives for sampling from discrete distributions. However, continuous distributions have to be discretized because the corresponding measures cannot be defined on all subsets of their carriers. This paper proposes the use of synthetic topology to model continuous distributions for probabilistic computations in type theory. We study the initial σ-frame and the corresponding induced topology on arbitrary sets. Based on these intrinsic topologies, we define valuations and lower integrals on sets and prove versions of the Riesz and Fubini theorems. We then show how the Lebesgue valuation, and hence continuous distributions, can be constructed.
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