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Mobirise

Biography

I am a first 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:
Microsoft Windows, Linux, Mac OSX
Programming languages:
Python, LaTeX, C, C#, SQL

Languages:

Russian (native)
English (upper intermediate) 

Interests:

Basketball:
Candidate Master of Sports in Russia

Education

Sep 2020 - Now

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

Mobirise

New paper out

"Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees" - joint work with Peter Richtárik, Michael Diskin, Max Ryabinin and Alexander Gasnikov.

Oct 7, 2021

Mobirise

I am in MBZUAI till December

My internship as Research Assistant at Martin Takac's group has started today! It is a great pleasure for me to be a part of Martin's team and MBZUAI!

Oct 3, 2021

Mobirise

Paper accepted to NeurIPS

Our joint work with Gesualdo Scutari, Alexander Rogozin and Alexander Gasnikov got accepted and will be presented at NeurIPS in December. Now you can read it on arxiv.

Sep 29, 2021

Mobirise

Teacher on the Probability Theory course

In the new semester I teach the Probability Theory course in MIPT as a seminar teacher.

Sep 1, 2021

Mobirise

New paper out

"Distributed Saddle-Point Problems Under Similarity" - joint work with Gesualdo Scutari, Alexander Rogozin and Alexander Gasnikov.

Jul 22, 2021

Current publications

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees


October 2021

Distributed Saddle-Point Problems Under Similarity


Poster at NeurIPS 2021

July 2021

Decentralized and Personalized Federated Learning


July 2021

Near-Optimal Decentralized Algorithms for Saddle Point Problems over Time-Varying Networks



July 2021

One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization

Ivan Stepanov, Artyom Voronov, Aleksandr Beznosikov, Alexander Gasnikov

July 2021

© 2020-2021 Aleksandr Beznosikov