Microsoft Research
The Simple Essence of Automatic Differentiation - Conal Elliott
About this video
Conal Elliott presents his paper on automatic differentiation, deriving a simple, generalized AD algorithm from a natural specification. Varying the representation of derivatives yields forward and reverse mode algorithms that avoid the complexity and statefulness of backpropagation.


