Alexander Gasnikov

Full Professor, AI Institute, Innopolis University

Joined

February 2019

Names

Alexander Gasnikov (Preferred)

Alexander Vladimirovich Gasnikov

Emails

****@yandex.ru (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

AI Institute, Innopolis University (innopolis.university)

2025 – Present

Full Professor

Department Mathematical Foundations of Control, Moscow Institute of Physics and Technology (mipt.ru)

2024 – 2024

Principal Researcher

Applied AI Center, Skolkovo Institute of Science and Technology (skoltech.ru)

2022 – 2024

Associate Professor

Department Mathematical Foundations of Control, Moscow Institute of Physics and Technology (mipt.ru)

2005 – 2024

Advisors, Relations & Conflicts

Postdoc Advisor

Yurii Nesterov

2011 – 2022

Expertise

Stochastic optimization

2012 – Present

Publications

Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities
Petr Ostroukhov, Rinat Kamalov, Pavel Dvurechensky, Alexander Gasnikov
- 30 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods
Pavel Dvurechensky, Petr Ostroukhov, Alexander Gasnikov, Cesar A Uribe
- 30 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
Dmitry Kovalev, Alexander Gasnikov, Peter Richtárik
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev, Alexander Gasnikov
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
Dmitry Kovalev, Alexander Gasnikov
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov, Marina Danilova, David Dobre, Pavel Dvurechensky, Alexander Gasnikov, Gauthier Gidel
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate
Slavomir Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander Gasnikov, Peter Richtárik, Martin Takáč
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander Gasnikov
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Mikhail Persiianov, Peter Richtárik, Alexander Gasnikov
- Published: 31 Oct 2022, Last Modified: 26 Sept 2024
- NeurIPS 2022 Accept
- Readers: Everyone
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Dmitrievna Borodich, Alexander Gasnikov, Gesualdo Scutari
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

View all 21 publications

Co-Authors

View all 39 co-authors