activity
20172021
most citedThe global rate of convergence for optimal tensor methods in smooth convex optimization

18 citations · 33 across the 7 of their papers we have counts for

collaborators

8 papers

math.OC2021

Convex optimization

Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov +1

This textbook is based on lectures given by the authors at MIPT (Moscow), HSE (Moscow), FEFU (Vladivostok), V.I. Vernadsky KFU (Simferopol), ASU (Republic of Adygea), and the Unive…

math.OC2020

Oracle Complexity Separation in Convex Optimization

Anastasiya Ivanova, Evgeniya Vorontsova, Dmitry Pasechnyuk +4

Many convex optimization problems have structured objective function written as a sum of functions with different types of oracles (full gradient, coordinate derivative, stochastic…

math.OC2019

Adaptive Mirror Descent for the Network Utility Maximization Problem

Anastasiya Ivanova, Fedor Stonyakin, Dmitry Pasechnyuk +2

Network utility maximization is the most important problem in network traffic management. Given the growth of modern communication networks, we consider the utility maximization pr…

math.OC2019★ 1 cited

Numerical methods for the resource allocation problem in networks

Anastasiya Ivanova, Dmitry Pasechnyuk, Pavel Dvurechensky +2

In this paper, we consider the resource allocation problem in a network with a large number of connections which are used by a huge number of users. The resource allocation problem…

math.OC2019★ 4 cited

New Version of Mirror Prox for Variational Inequalities with Adaptation to Inexactness

Fedor Stonyakin, Evgeniya Vorontsova, Mohammad Alkousa

Some adaptive analogue of the Mirror Prox method for variational inequalities is proposed. In this work we consider the adaptation not only to the value of the Lipschitz constant,…

math.OC2018★ 18 cited

The global rate of convergence for optimal tensor methods in smooth convex optimization

Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov +3

We consider convex optimization problems with the objective function having Lipshitz-continuous -th order derivative, where . We propose a new tensor method, which clos…