Artem Agafonov

15 papers A* 3A 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Adaptive Cubic Regularized Quasi-Newton Methods.
J. Optim. Theory Appl.
Dmitry Kamzolov, Klea Ziu, Artem Agafonov, Martin Takác
2025 J jnl
FLECS: a federated learning second-order framework via compression and sketching.
Optim. Methods Softw.
Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander V. Gasnikov, Martin Takác
2025 A conf
Learning Confident Classifiers in the Presence of Label Noise.
SDM
Asma Ahmed Hashmi, Aigerim Zhumabayeva, Nikita Kotelevskii, Artem Agafonov, Mohammad Yaqub, Maxim Panov, Martin Takác
2025 J jnl
Multi-Agent Path Finding For Large Agents Is Intractable.
CoRR
Artem Agafonov, Konstantin Yakovlev
2025 A conf
Multi-Agent Path Finding for Large Agents Is Intractable.
ECAI
Artem Agafonov, Konstantin Yakovlev
2025 A* conf
OPTAMI: Global Superlinear Convergence of High-order Methods.
ICLR
Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takác
2025 J jnl
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees.
CoRR
Artem Agafonov, Vladislav Ryspayev, Samuel Horváth, Alexander V. Gasnikov, Martin Takác, Slavomír Hanzely
2024 A* conf
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness.
ICLR
Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác
2024 A* conf
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations.
NeurIPS
Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takác, Alexander V. Gasnikov, Dmitry Kamzolov
2024 J jnl
Inexact tensor methods and their application to stochastic convex optimization.
Optim. Methods Softw.
Artem Agafonov, Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov, Martin Takác
2023 J jnl
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise.
CoRR
Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác
2022 J jnl
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences.
CoRR
Artem Agafonov, Brahim Erraji, Martin Takác
2021 — conf
An Accelerated Second-Order Method for Distributed Stochastic Optimization.
CDC
Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand
2021 J jnl
Inexact model: a framework for optimization and variational inequalities.
Optim. Methods Softw.
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
2019 — conf
Gradient Methods for Problems with Inexact Model of the Objective.
MOTOR
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