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POPL 2021
Sun 17 - Fri 22 January 2021 Online
Tue 19 Jan 2021 17:00 - 17:30 at PEPM - Session 4 Chair(s): Jeremy Yallop

Automatic differentiation (AD) is an important family of algorithms which enables derivative based optimization. We show that AD can be simply implemented with effects and handlers by doing so in the Frank language. By considering how our implementation behaves in Frank’s operational semantics, we show how our code performs the dynamic creation of programs during evaluation.

Short paper (paper17.pdf)609KiB

Tue 19 Jan
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