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2020 – today
- 2024
[j2]Artem Agafonov, Dmitry Kamzolov
, Pavel E. Dvurechensky, Alexander V. Gasnikov, Martin Takác:
Inexact tensor methods and their application to stochastic convex optimization. Optim. Methods Softw. 39(1): 42-83 (2024)- [c3]Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác:
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR 2024 - 2023
- [i2]Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác:
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. CoRR abs/2301.00524 (2023) - 2022
- [i1]Artem Agafonov, Brahim Erraji, Martin Takác:
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences. CoRR abs/2210.09626 (2022) - 2021
- [j1]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:
Inexact model: a framework for optimization and variational inequalities. Optim. Methods Softw. 36(6): 1155-1201 (2021) - [c2]Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand:
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC 2021: 2407-2413
2010 – 2019
- 2019
- [c1]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:
Gradient Methods for Problems with Inexact Model of the Objective. MOTOR 2019: 97-114
Coauthor Index
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