We have 1 paper at the main conference (poster):
Stochastic Frank-Wolfe: Unified Analysis and New Faces of Classical Method (with Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Gauthier Gidel, Alexander Gasnikov)
Jan 20, 2024
We have 1 paper at the main conference (poster):
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting (with Aleksei Ustimenko)
Jan 20, 2024
I received the Yandex ML Prize award in the "Yandex researchers" category! Thank you to everyone who was there for me!
Dec 16, 2023
In the new semester we (with Alexander Gasnikov and Roland Hildebrand) teach the Optimization in ML course at Skoltech.
Oct 31, 2023
We have 4 papers at the main conference (posters). These papers are
1) Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed
Variational Inequalities (with Martin Takac, Alexander Gasnikov) - arxiv
2) First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities (with Sergey Samsonov, Marina Sheshukova, Alexander Gasnikov, Alexey Naumov, Eric Moulines) - arxiv
Sep 22, 2023
In the new semester I teach the Optimization in ML course at Innopolis University as a lecture.
Sep 1, 2023
In the new semester I teach the Optimization course at MIPT as a lecture and the Probability Theory course (also at MIPT) as a seminar teacher.
Sep 1, 2023
In the new semester I teach the Stochastic Process and Numerical Optimization courses in MIPT as a seminar teacher. Also I am a co-lecturer of "Optimization in Machine Learning" course in VK Academy.
Feb 6, 2023
We have 1 paper at the main conference (poster):
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods (with Eduard Gorbunov, Hugo Berard and Nicolas Loizou) - arxiv
Jan 20, 2023
We have 4 papers at the main conference (posters). These papers are
1) Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity - arxiv
2) Optimal Algorithms for Decentralized Stochastic Variational Inequalities (with Dmitry Kovalev, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander Gasnikov) - arxiv
3) Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees (with Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander Gasnikov) - arxiv
4) Decentralized Local Stochastic Extra-Gradient for Variational Inequalities (with Pavel Dvurechensky, Anastasia Koloskova, Valentin Samokhin, Sebastian U Stich, Alexander Gasnikov) - arxiv
Sep 15, 2022
In the new semester I teach the Probability Theory course in MIPT as a seminar teacher.
Sep 1, 2022
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
In the new semester I begin to teach the Stochastic Processes course in MIPT as a seminar teacher (lecturer: Maksim Shirobokov).
Feb 1, 2022
Our team: Eduard Gorbunov, Alexander Rogozin, Vladislav Matyukhin and me, became the winner of a grant for young research groups.
Nov 30, 2021
We have one paper at the main conference. Also we have submitted 3 papers to OPT 2021: Optimization for Machine Learning and New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership workshops. All were accepted! These papers are
1) Distributed Saddle-Point Problems Under Similarity (with Gesualdo Scutari, Alexander Rogozin and Alexander Gasnikov) - main conference (poster) - arxiv
2) Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes (with Abdurakhmon Sadiev, Ekaterina Borodich, Darina Dvinskikh, Martin Takac and Alexander Gasnikov) - OPT ML workshop (spotlight) - arxiv
3) Random-reshuffled SARAH does not need a full gradient computations (with Martin Takac) - OPT ML workshop (poster)
4) Decentralized Personalized Federated Min-Max Problems (with Ekaterina Borodich, Abdurakhmon Sadiev, Vadim Sushko, Nikolay Savelyev, Martin Takac and Alexander Gasnikov) - NF in FL workshop - arxiv
Oct 22, 2021
In the new semester I teach the Probability Theory course in MIPT as a seminar teacher.
Sep 1, 2021
"One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization" - joint work with Ivan Stepanov, Artyom Voronov and Alexander Gasnikov.
This is my students' semester project! I am very glad they did it! That's not all! There will be more projects from my students!
This is a draft version! Work in progress!
Jul 13, 2021
It is my pleasure to join Yandex Research as a research intern!
Jul 12, 2021
I am taking part in the conference "Optimization without borders" in Sochi. The conference is dedicated to the anniversaries of Yurii Nesetrov and Vladimir Protasov
Jul 11, 2021
I gave a talk about distributed optimization at the all-Russian Optimization Seminar.
Jun 30, 2021
I gave a 30 minute talk about distributed saddle point problems.
Jun 2, 2021
I was pleased to present my poster, as well as listen to speakers and discuss other posters
Apr 9, 2021
I'm glad to be part of the laboratory team (head: Andrei Raigorodskii)
Mar 1, 2021
The scholarship was established by Professor Andrei Raigorodsky.
Feb 27, 2021
I'm glad to be part of the laboratory team (heads: Eric Moulines, Alexey Naumov)
Feb 1, 2021
In the new semester I will teach the Stochastic Processes course at MIPT as a seminar teacher (lecturer: Maksim Shirobokov).
Feb 1, 2021
During the month I will give several lectures on optimization and will also take part in several projects.
Aug 2, 2020
My joint work "Gradient-Free Methods for Saddle-Point Problem" with Abdurakhmon Sadiev and Alexander Gasnikov was presented at the conference and will be published in Communications in Computer and Information Science (CCIS) series.
Jul 15, 2020
My joint work "Derivative-Free Method For Decentralized Distributed Non-Smooth Optimization" with Eduard Gorbunov and Alexander Gasnikov was presented at the conference and will be published in IFAC-PapersOnLine.
Jul 12, 2020
In the new semester I will be a student advisor on the Machine Learning course at Dorodnicyn Computing Centre of RAS.
Feb 13, 2020
In the new semester I will teach the Stochastic Processes course at MIPT as a seminar teacher (lecturer: Alexander Gasnikov).
Feb 7, 2020
