Aleksandr Beznosikov | DeepAI

DeepAI AI Chat

Featured Co-authors

Peter Richtarik
143 publications
Martin Takáč
53 publications
Gauthier Gidel
46 publications
Sebastian U. Stich
46 publications
Nicolas Loizou
26 publications
Alexander Gasnikov
25 publications
Eduard Gorbunov
24 publications
Samuel Horvath
22 publications
Pavel Dvurechensky
19 publications
Anastasia Koloskova
15 publications
Mher Safaryan
10 publications

∙ 04/23/2023

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features

The Frank-Wolfe (FW) method is a popular approach for solving optimizati...

0 Aleksandr Beznosikov, et al. ∙

∙ 06/01/2022

Stochastic Gradient Methods with Preconditioned Updates

This work considers non-convex finite sum minimization. There are a numb...

0 Abdurakhmon Sadiev, et al. ∙

∙ 02/15/2022

Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods

Stochastic Gradient Descent-Ascent (SGDA) is one of the most prominent a...

8 Aleksandr Beznosikov, et al. ∙

∙ 11/26/2021

Random-reshuffled SARAH does not need a full gradient computations

The StochAstic Recursive grAdient algoritHm (SARAH) algorithm is a varia...

0 Aleksandr Beznosikov, et al. ∙

∙ 06/15/2021

Decentralized Local Stochastic Extra-Gradient for Variational Inequalities

We consider decentralized stochastic variational inequalities where the ...

0 Aleksandr Beznosikov, et al. ∙

∙ 06/14/2021

Decentralized Personalized Federated Min-Max Problems

Personalized Federated Learning has recently seen tremendous progress, a...

0 Aleksandr Beznosikov, et al. ∙

∙ 10/25/2020

Local SGD for Saddle-Point Problems

GAN is one of the most popular and commonly used neural network models. ...

0 Aleksandr Beznosikov, et al. ∙

∙ 09/21/2020

Zeroth-Order Algorithms for Smooth Saddle-Point Problems

In recent years, the importance of saddle-point problems in machine lear...

0 Abdurakhmon Sadiev, et al. ∙

∙ 05/12/2020

Gradient-Free Methods for Saddle-Point Problem

In the paper, we generalize the approach Gasnikov et. al, 2017, which al...

0 Aleksandr Beznosikov, et al. ∙

∙ 02/27/2020

On Biased Compression for Distributed Learning

In the last few years, various communication compression techniques have...

15 Aleksandr Beznosikov, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world