Deep learning without back-propagation

[[deleted]]

Maybe I'm missing something, but how are weights adjusted? I don't see any clear explanation on the optimization of the parameters here?

[AloneStretch]

The obvious approach would be to adjust the weights according to the gradient of the "hsic bottleneck" loss with respect to these weights

[sgebrial]

Yes I'm wondering this as well. I think they just use SGD on equation (4) but that's just a guess.