<Reference List> | |
Type: | Preprint |
National /International: | International |
Title: | Logical relations for partial features and automatic differentiation correctness |
Publication Date: | 2022-10-21 |
Authors: |
- Fernando Lucatelli Nunes
- Matthijs Vákár |
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. |
Institution: | DMUC 22-31 |
Online version: | http://www.mat.uc.pt...prints/eng_2022.html |
Download: | Not available |