gradient descent non-trivial it's an interference problem meaning that what we are interested in is a correlation with the ground true signal x star we are not really interested in the optimization problem per sec so this is similar to the machine learning with neural networks where we always solve it by optimization but we are really interested in the generalization error in something slightly different than the value of the loss function itself and the third and fourth point is that this model has interesting computational