927 citations · 2.1k across the 31 of their papers we have counts for
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cs.LG2015★ 3 cited
New Optimisation Methods for Machine Learning
Aaron Defazio
A thesis submitted for the degree of Doctor of Philosophy of The Australian National University. In this work we introduce several new optimisation methods for problems in machine…
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…