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arXiv · 2210.08530

Logical Relations for Partial Features and Automatic Differentiation Correctness

Fernando Lucatelli Nunes·Matthijs Vákár
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Abstract

We present a simple technique for semantic, open logical relations arguments about languages with recursive types, which, as we show, follows from a principled foundation in categorical semantics. We demonstrate how it can be used to give a very straightforward proof of correctness of practical forward- and reverse-mode dual numbers style automatic differentiation (AD) on ML-family languages. The key idea is to combine it with a suitable open logical relations technique for reasoning about differentiable partial functions (a suitable lifting of the partiality monad to logical relations), which we introduce.

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BibTeXRIS

Fernando Lucatelli Nunes, Matthijs Vákár. 2022-10-16. Logical Relations for Partial Features and Automatic Differentiation Correctness. https://arxiv.org/abs/2210.08530

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