no code implementations • 11 Mar 2021 • Dmitry Pasechnyuk, Vladislav Matyukhin
This article is devoted to one particular case of using universal accelerated proximal envelopes to obtain computationally efficient accelerated versions of methods used to solve various optimization problem setups.
Optimization and Control 90C25 (Primary), 65K05 (Secondary) G.1.6
1 code implementation • 25 Nov 2019 • Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander Gasnikov, Vladislav Matyukhin
In this paper, we present a generic framework that allows accelerating almost arbitrary non-accelerated deterministic and randomized algorithms for smooth convex optimization problems.
Optimization and Control
