Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
optimized. 4. But why only convex optimization? For a long time it was speculated that considering a problem as hard is about linearity and non-linearity, but later it was concluded that it’s mostly about convexity and non-convexity. Actually, convex problems are the only ones for which we have