Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
function which was MSE right? And we want to give large penalty when we cross threshold using penalty term. Thus we can see the equation as, From Game theory perspective, You can think of this as a min-max game, optimizing MSE results in larger W, on the other hand optimization of P results in