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math.OC2020
The recovery model for the calculation of correspondence matrix for Moscow
Anastasiya Ivanova, Sergey Omelchenko, Ekaterina Kotliarova +1
In this paper, we consider the problem of restoring the correspondence matrix based on the observations of real correspondences in Moscow. Following the conventional approach, the…
math.OC2020
Accelerated and nonaccelerated stochastic gradient descent with inexact model
Darina Dvinskikh, Alexander Tyurin, Alexander Gasnikov +1
In this paper, we propose a new way to obtain optimal convergence rates for smooth stochastic (strong) convex optimization tasks. Our approach is based on results for optimization…