610 citations · 1.2k across the 24 of their papers we have counts for
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cs.LG2017★ 20 cited
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Dong Yin, Ashwin Pananjady, Max Lam +3
It has been experimentally observed that distributed implementations of mini-batch stochastic gradient descent (SGD) algorithms exhibit speedup saturation and decaying generalizati…
cs.IT2017
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes
Dong Yin, Ramtin Pedarsani, Yudong Chen +1
In this paper, we consider the mixture of sparse linear regressions model. Let be unknown sparse parameter vectors with a total of $ K…