Convex optimisation is defined as:
I have seen a lot of talk about convex loss functions in Neural Networks and how we are optimising rewards or penalty in AI/ML systems. But I have never seen any loss function formulated in the aforementioned way. So my question is:
Is there any role of convex optimization in AI? If so, in what algorithms or problem settings or systems?