Stochastic gradient descent (SGD) is perhaps the most prevalent optimiza...
Exploiting partial first-order information in a cyclic way is arguably t...
We study a class of generalized linear programs (GLP) in a large-scale
s...
Projection-free conditional gradient (CG) methods are the algorithms of
...
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