Artem Agafonov

PhD student, Machine Learning, Mohamed bin Zayed University of Artificial Intelligence

Joined

February 2019

Names

Artem Agafonov (Preferred)

Emails

****@phystech.edu (Confirmed)

****@mbzuai.ac.ae (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (mbzuai.ac.ae)

2022 – 2026

Advisors, Relations & Conflicts

Social

Petr Ostroukhov

Present

PhD Advisor

Martin Takac

2022 – Present

PhD Advisor

Alexander Gasnikov

2018 – Present

Expertise

Optimization

Present

Federated Learning

Present

Machine Learning

Present

Publications

Simple Stepsizes for Quasi-Newton Methods with Global Convergence Guarantees
Artem Agafonov, Vladislav Ryspayev, Samuel Horváth, Alexander Gasnikov, Martin Takáč, Slavomir Hanzely
- Submitted to ICLR 2026
- Readers: Everyone
OPTAMI: Global Superlinear Convergence of High-order Methods
Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander Gasnikov, Martin Takáč
- ICLR 2025 Poster
- Readers: Everyone
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takáč, Alexander Gasnikov, Dmitry Kamzolov
- NeurIPS 2024 spotlight
- Readers: Everyone
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takáč
- ICLR 2024 poster
- Readers: Everyone
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise
Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác
- 2023 (modified: 27 Mar 2023)
- CoRR 2023
- Readers: Everyone
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Artem Agafonov, Brahim Erraji, Martin Takác
- 2022 (modified: 27 Mar 2023)
- CoRR 2022
- Readers: Everyone
An Accelerated Second-Order Method for Distributed Stochastic Optimization
Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand
- 2021 (modified: 15 May 2022)
- CDC 2021
- Readers: Everyone
Inexact model: a framework for optimization and variational inequalities
Fedor S. Stonyakin, Alexander Tyurin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Artem Agafonov, Darina Dvinskikh, Mohammad S. Alkousa, Dmitry Pasechnyuk, Sergei Artamonov, Victoria V. Piskunova
- 2021 (modified: 04 Mar 2023)
- Optim. Methods Softw. 2021
- Readers: Everyone
Gradient Methods for Problems with Inexact Model of the Objective
Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov
- 2019 (modified: 09 May 2022)
- MOTOR 2019
- Readers: Everyone

Co-Authors

View all 33 co-authors