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Mobirise

Biography

I am a second year student of master's program at Moscow Institute of Physics and Technology, Phystech School of Applied Mathematics and Informatics. I work under supervision of professor Alexander Gasnikov.  My research interests include Stochastic Optimization, Distibuted Optimization and their applications to Machine and Deep Learning.

My contacts

Email №1:

anbeznosikov@gmail.com

Email №2:

beznosikov.an@phystech.edu

Computer skills:

Operating systems:
Mac OSX, Linux, Microsoft Windows
Programming languages:
Python, LaTeX, SQL, C, C# 

Languages:

Russian (native)
English (upper intermediate) 

Interests:

Basketball:
Candidate Master of Sports in Russia

Education

Sep 2020 - Jul 2022

MSc at Moscow Institute of Physics and Technology

Phystech School of Applied Mathematics and Informatics/Department of Control and Applied Mathematics

Sep 2016 - Aug 2020

BSc at Moscow Institute of Physics and Technology

Phystech School of Applied Mathematics and Informatics/Department of Control and Applied Mathematics

Thesis (in Russian): Distributed decentralized gradient-free methods for solving non-smooth stochastic convex optimization problems

Advisor: Alexander Gasnikov 

Work Experience

Sep 2017 - Now

Moscow Institute of Physics and Technology

Teaching assistant for the following courses: Stochastic Process, Probability Theory, Discrete Analysis, Databases.

Feb 2021 - Now

MADE: Big Data Academy Mail.Ru group

Teaching assistant.

Feb 2021 - Now

International Laboratory of Stochastic Algorithms and High-Dimensional Inference

Research assistant. Heads: Eric Moulines, Alexey Naumov.

Mar 2021 - Now

Laboratory of Advanced Combinatorics and
Network Applications

Junior Researcher. Head: Andrei Raigorodskii.

Jul 2021 - Now                         

Yandex Research

Research intern in the Yandex Research team.

Current posts

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Master thesis defence

On 14 June I had a master thesis defence at MIPT.

June 14, 2022

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ICML: 1 accepted paper

We have one paper at the main conference:

The Power of First-Order Smooth Optimization for Black-Box Non-Smooth Problems (Alexander Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, Bin Gu) - main conference (short talk) - arxiv

Jun 13, 2022

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New paper out

"Stochastic Gradient Methods with Preconditioned Updates" - joint work with Abdurakhmon Sadiev, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takáč.

June 1, 2022

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New paper out

"Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity" - joint work with Dmitry Kovalev, Ekaterina Borodich, Alexander Gasnikov, Gesualdo Scutari.

May 30, 2022

Current publications

Stochastic Gradient Methods with Preconditioned Updates

Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takáč

June 2022

Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity


May 2022

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


February 2022

Optimal Algorithms for Decentralized Stochastic Variational Inequalities

Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander Gasnikov

February 2022

© 2020-2022 Aleksandr Beznosikov