An Introduction to Algorithmic Differentiation

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• Will Tebbutt (University of Cambridge)
• Wednesday 29 January 2025, 11:00-12:30
• Cambridge University Engineering Department, CBL Seminar room BE4-38..

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Reverse-mode Algorithmic Differentiation (AD) is a foundational tool in modern Machine Learning. In this session we will review what AD does, how it does it, and the implications of this in both principle and practice.

I will only assume familiarity with calculus (the chain rule, gradients, Jacobians, directional derivatives, etc), and that you have at some point used a framework like PyTorch or JAX , and are therefore familiar with what these frameworks tend to offer.

This talk is part of the Machine Learning Reading Group @ CUED series.

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