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math.OC2015★ 38 cited
Asynchronous stochastic convex optimization
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 optimiza…
math.OC2015★ 4 cited
Weighted SGD for Regression with Randomized Preconditioning
Jiyan Yang, Yin-Lam Chow, Christopher Ré +1
In recent years, stochastic gradient descent (SGD) methods and randomized linear algebra (RLA) algorithms have been applied to many large-scale problems in machine learning and dat…