Random shuffling outperforms SGD after a few epochs in optimization problems.
problem Proving RandomShuffle converges faster than SGD after a finite number of epochs.
method Introduced RandomShuffle and proved its convergence rate under strong convexity and smoothness conditions.
result RandomShuffle converges faster than SGD after a reasonable number of epochs, with a rate of O(1/T^2 + n^3/T^3).