This robustness to approximations comes from the fact that the online framework sets weights with respect to inference.
the learning method sees common errors due to Training data: T = {(xt, yt)} T t=1 1. w (0) = 0; v = 0; i = 0 2. for n : 1..N 3. for t : 1..T min where y = arg max y s(xt, y ; i+1) 6.