  Point-SAGA is a randomized algorithm for minimizing a sum of convex functions
using their proximity operators (proxs), proposed by Defazio (2016). At every
iteration, the prox of only one randomly chosen function is called. We
generalize the algorithm to any number of prox calls per iteration, not only
one, and propose a simple proof of linear convergence when the functions are
smooth and strongly convex.
