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arXiv · 2306.17009

Approximate Inference via Fibrations of Statistical Games

Toby St Clere Smithe
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Abstract

We characterize a number of well known systems of approximate inference as loss models: lax sections of 2-fibrations of statistical games, constructed by attaching internally-defined loss functions to Bayesian lenses. Our examples include the relative entropy, which constitutes a strict section, and whose chain rule is formalized by the horizontal composition of the 2-fibration. In order to capture this compositional structure, we first introduce the notion of 'copy-composition', alongside corresponding bicategories through which the composition of copy-discard categories factorizes. These bicategories are a variant of the Copara construction, and so we additionally introduce coparameterized Bayesian lenses, proving that coparameterized Bayesian updates compose optically, as in the non-coparameterized case.

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BibTeXRIS

Toby St Clere Smithe. 2023-06-29. Approximate Inference via Fibrations of Statistical Games. https://doi.org/10.4204/eptcs.397.17

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