no code implementations • 19 May 2017 • Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer
We present a generic framework for trading off fidelity and cost in computing stochastic gradients when the costs of acquiring stochastic gradients of different quality are not known a priori.
