Aleksandr Beznosikov

About Aleksandr Beznosikov

Aleksandr Beznosikov, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Moscow Institute of Physics and Technology, specializes in the field of Optimization, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases

Similarity, compression and local steps: three pillars of efficient communications for distributed variational inequalities

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning

Decentralized Finite-Sum Optimization over Time-Varying Networks

Preconditioning meets biased compression for efficient distributed optimization

Activations and gradients compression for model-parallel training

Extragradient Sliding for Composite Non-Monotone Variational Inequalities

Optimal analysis of method with batching for monotone stochastic finite-sum variational inequalities

Aleksandr Beznosikov Information

University

Position

MSc

Citations(all)

648

Citations(since 2020)

642

Cited By

55

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Moscow Institute of Physics and Technology

Google Scholar

View Google Scholar Profile

Aleksandr Beznosikov Skills & Research Interests

Optimization

Machine Learning

Top articles of Aleksandr Beznosikov

Title

Journal

Author(s)

Publication Date

Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases

Ruslan Nazykov

Aleksandr Shestakov

Vladimir Solodkin

Aleksandr Beznosikov

Gauthier Gidel

...

2024/4/18

Similarity, compression and local steps: three pillars of efficient communications for distributed variational inequalities

Advances in Neural Information Processing Systems

Aleksandr Beznosikov

Martin Takác

Alexander Gasnikov

2024/2/13

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning

arXiv preprint arXiv:2404.03323

Andrei Semenov

Vladimir Ivanov

Aleksandr Beznosikov

Alexander Gasnikov

2024/4/4

Decentralized Finite-Sum Optimization over Time-Varying Networks

arXiv preprint arXiv:2402.02490

Dmitry Metelev

Savelii Chezhegov

Alexander Rogozin

Dmitry Kovalev

Aleksandr Beznosikov

...

2024/2/4

Preconditioning meets biased compression for efficient distributed optimization

Computational Management Science

Vitali Pirau

Aleksandr Beznosikov

Martin Takáč

Vladislav Matyukhin

Alexander Gasnikov

2024/6

Activations and gradients compression for model-parallel training

arXiv preprint arXiv:2401.07788

Mikhail Rudakov

Aleksandr Beznosikov

Yaroslav Kholodov

Alexander Gasnikov

2024/1/15

Extragradient Sliding for Composite Non-Monotone Variational Inequalities

arXiv preprint arXiv:2403.14981

Roman Emelyanov

Andrey Tikhomirov

Aleksandr Beznosikov

Alexander Gasnikov

2024/3/22

Optimal analysis of method with batching for monotone stochastic finite-sum variational inequalities

arXiv preprint arXiv:2401.07858

Alexander Pichugin

Maksim Pechin

Aleksandr Beznosikov

Alexander Gasnikov

2024/1/15

Decentralized optimization over slowly time-varying graphs: algorithms and lower bounds

Computational Management Science

Dmitry Metelev

Aleksandr Beznosikov

Alexander Rogozin

Alexander Gasnikov

Anton Proskurnikov

2024/1/1

Stochastic gradient methods with preconditioned updates

Journal of Optimization Theory and Applications

Abdurakhmon Sadiev

Aleksandr Beznosikov

Abdulla Jasem Almansoori

Dmitry Kamzolov

Rachael Tappenden

...

2024/3/20

Accelerated Methods with Compression for Horizontal and Vertical Federated Learning

arXiv preprint arXiv:2404.13328

Sergey Stanko

Timur Karimullin

Aleksandr Beznosikov

Alexander Gasnikov

2024/4/20

Decentralized saddle point problems via non-Euclidean mirror prox

Optimization Methods and Software

Alexander Rogozin

Aleksandr Beznosikov

Darina Dvinskikh

Dmitry Kovalev

Pavel Dvurechensky

...

2024/1/12

First order methods with markovian noise: from acceleration to variational inequalities

Aleksandr Beznosikov

Sergey Samsonov

Marina Sheshukova

Alexander Gasnikov

Alexey Naumov

...

2023

Random-reshuffled SARAH does not need full gradient computations

Optimization Letters

Aleksandr Beznosikov

Martin Takáč

2023/12/11

SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities

Aleksandr Beznosikov

Alexander Gasnikov

2023/5/4

Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting

arXiv preprint arXiv:2310.06081

Aleksei Ustimenko

Aleksandr Beznosikov

2023/10/9

Optimal data splitting in distributed optimization for machine learning

Doklady Mathematics

Daniil Medyakov

Gleb Molodtsov

Aleksandr Beznosikov

Alexander Gasnikov

2023/12

Sarah frank-wolfe: Methods for constrained optimization with best rates and practical features

arXiv preprint arXiv:2304.11737

Aleksandr Beznosikov

David Dobre

Gauthier Gidel

2023/4/23

On biased compression for distributed learning

Journal of Machine Learning Research (JMLR), 2023

Aleksandr Beznosikov

Samuel Horváth

Peter Richtárik

Mher Safaryan

2020/2/27

Non-smooth setting of stochastic decentralized convex optimization problem over time-varying graphs

Computational Management Science

Aleksandr Lobanov

Andrew Veprikov

Georgiy Konin

Aleksandr Beznosikov

Alexander Gasnikov

...

2023/12

See List of Professors in Aleksandr Beznosikov University(Moscow Institute of Physics and Technology)

Co-Authors

H-index: 64
Peter Richtarik

Peter Richtarik

King Abdullah University of Science and Technology

H-index: 51
Gesualdo Scutari

Gesualdo Scutari

Purdue University

H-index: 38
Alexander Gasnikov

Alexander Gasnikov

Moscow Institute of Physics and Technology

H-index: 37
Martin Takáč

Martin Takáč

Lehigh University

H-index: 21
Dmitry Kovalev

Dmitry Kovalev

King Abdullah University of Science and Technology

H-index: 14
Samuel Horvath

Samuel Horvath

King Abdullah University of Science and Technology

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