no code implementations • NeurIPS 2015 • Sorathan Chaturapruek, John C. Duchi, Christopher Ré
We show that asymptotically, completely asynchronous stochastic gradient procedures achieve optimal (even to constant factors) convergence rates for the solution of convex optimization problems under nearly the same conditions required for asymptotic optimality of standard stochastic gradient procedures.
1 code implementation • 4 Aug 2015 • John C. Duchi, Sorathan Chaturapruek, Christopher Ré
We show that asymptotically, completely asynchronous stochastic gradient procedures achieve optimal (even to constant factors) convergence rates for the solution of convex optimization problems under nearly the same conditions required for asymptotic optimality of standard stochastic gradient procedures.