13 citations · 17 across the 7 of their papers we have counts for
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math.OC2016
Non accelerated efficient numerical methods for sparse quadratic optimization problems and its generalizations
Anton Anikin, Alexander Gasnikov, Alexander Gornov
We investigate primal gradient method with l1-norm and conditional gradient method (both methods are non accelerated). We show that these methods can outperform well known accelera…
math.OC2016★ 1 cited
Randomization and sparsity in huge-scale optimization on the Mirror Descent example
Anton Anikin, Alexander Gasnikov, Alexander Gornov
We investigate different randomizations for mirror descent method. We try to propose such a randomization that allows us to use sparsity of the problem as much as it possible. In t…