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20122023
most citedA simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

33 citations · 118 across the 11 of their papers we have counts for

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Showing 2015 · stat.MLShow all

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stat.ML2015★ 26 cited

Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields

Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed +3

We apply stochastic average gradient (SAG) algorithms for training conditional random fields (CRFs). We describe a practical implementation that uses structure in the CRF gradient…