Submitted by shitboots t3_zdkpgb in MachineLearning
bohreffect t1_iz6emfb wrote
Reply to comment by [deleted] in [R] The Forward-Forward Algorithm: Some Preliminary Investigations [Geoffrey Hinton] by shitboots
I mean, can you not compute the Jacobian of a constrained optimization program and stack that into any differentiable composition of functions?
People snoozin'.
[deleted] t1_iz6hlao wrote
no you can't because it's not actually a Jacobian
bohreffect t1_iz6j2xr wrote
The Jacobian of the solution of a constrained optimization program with respect to its parameters, but I thought that was understood amongst the towering intellect of neural network afficiandos, e.g. the original commenter finding backprop to be stale.
Here's the stochastic programming version: Section 3.3. https://proceedings.neurips.cc/paper/2017/file/3fc2c60b5782f641f76bcefc39fb2392-Paper.pdf
Ulfgardleo t1_iz9fjio wrote
Funny that stuff always comes back. We used to differentiate SVM solutions wrt kernel parameters like that back in the day.
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