MB-SARAH-RBB uses a random Barzilai-Borwein step size to accelerate mini-batch SARAH, with a linear convergence proof and improved complexity for strongly convex objectives.
Nitanda, Stochastic proximal gradient descent with acceleration techniques, in: Advances in Neural Information Processing Systems, 2014, pp
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Accelerating Mini-batch SARAH by Step Size Rules
MB-SARAH-RBB uses a random Barzilai-Borwein step size to accelerate mini-batch SARAH, with a linear convergence proof and improved complexity for strongly convex objectives.