873 citations · 1.3k across the 35 of their papers we have counts for
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math.OC2016★ 9 cited
Decentralized Consensus Optimization with Asynchrony and Delays
Tianyu Wu, Kun Yuan, Qing Ling +2
We propose an asynchronous, decentralized algorithm for consensus optimization. The algorithm runs over a network in which the agents communicate with their neighbors and perform l…
math.OC2016
On the Influence of Momentum Acceleration on Online Learning
Kun Yuan, Bicheng Ying, Ali H. Sayed
The article examines in some detail the convergence rate and mean-square-error performance of momentum stochastic gradient methods in the constant step-size and slow adaptation reg…
math.OC2016
Online Dual Coordinate Ascent Learning
Bicheng Ying, Kun Yuan, Ali H. Sayed
The stochastic dual coordinate-ascent (S-DCA) technique is a useful alternative to the traditional stochastic gradient-descent algorithm for solving large-scale optimization proble…