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Showing 2019 · math.OCShow all
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math.OC2019★ 16 cited
Derivative-Free Method For Composite Optimization With Applications To Decentralized Distributed Optimization
Aleksandr Beznosikov, Eduard Gorbunov, Alexander Gasnikov
In this paper, we propose a new method based on the Sliding Algorithm from Lan(2016, 2019) for the convex composite optimization problem that includes two terms: smooth one and non…
math.OC2019★ 12 cited
Mirror Descent for Constrained Optimization Problems with Large Subgradient Values
Fedor Stonyakin, Alexey Stepanov, Alexander Gasnikov +1
Based on the ideas of arXiv:1710.06612, we consider the problem of minimization of the Holder-continuous non-smooth functional with non-positive convex (generally, non-smooth)…
math.OC2019★ 4 cited
On a Combination of Alternating Minimization and Nesterov's Momentum
Sergey Guminov, Pavel Dvurechensky, Nazarii Tupitsa +1
Alternating minimization (AM) procedures are practically efficient in many applications for solving convex and non-convex optimization problems. On the other hand, Nesterov's accel…