90 citations · 95 across the 5 of their papers we have counts for
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math.OC2018
Asynchronous Stochastic Composition Optimization with Variance Reduction
Shuheng Shen, Linli Xu, Jingchang Liu +2
Composition optimization has drawn a lot of attention in a wide variety of machine learning domains from risk management to reinforcement learning. Existing methods solving the com…
cs.LG2018★ 1 cited
Accelerating Stochastic Gradient Descent Using Antithetic Sampling
Jingchang Liu, Linli Xu
(Mini-batch) Stochastic Gradient Descent is a popular optimization method which has been applied to many machine learning applications. But a rather high variance introduced by the…