[cultus]

It's funny how close everything is connected. It turns out you can even derive the hinge loss using a mixture of normal distributions, so it is also connected closely to OLS.

Some people have had good luck with hinge or multi-hinge loss for neural networks instead of the almost universal log loss, since of course the hinge loss can be used in things other than linear models. It doesn't care how you get the y output.