\(\def\prox{\text{prox}}\) In a previous post, I presented Proximal Gradient, a method for bypassing the \(O(1 / \epsilon^2)\) convergence rate of Subgradient Descent. This method relied on assuming that the objective function could be expressed as the sum of 2 functions, \(g(x)\) and \(h(x)\), with …