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ORCIDDmitry Kamzolov
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2020 – today
- 2026
[j9]Artem Agafonov
, Anton Novitskii, Alexander Rogozin, Yury Sokolov, Dmitry Kamzolov, Alexander D'yakonov, Martin Takác, Alexander V. Gasnikov:
Decentralized Inexact Cubic Newton Method With Consensus Procedure. IEEE Access 14: 83513-83540 (2026)- [j8]Dmitry Kamzolov, Klea Ziu, Artem Agafonov, Martin Takác:
Accelerated Adaptive Cubic Regularized Quasi-Newton Methods. J. Optim. Theory Appl. 208(1): 27 (2026) - 2025
- [j7]Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander V. Gasnikov, Martin Takác:
FLECS: a federated learning second-order framework via compression and sketching. Optim. Methods Softw. 40(5): 1222-1248 (2025) - [c8]Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takác:
OPTAMI: Global Superlinear Convergence of High-order Methods. ICLR 2025 - 2024
- [j6]Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác:
Stochastic Gradient Methods with Preconditioned Updates. J. Optim. Theory Appl. 201(2): 471-489 (2024) - [j5]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) - [c7]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 - [c6]Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takác, Alexander V. Gasnikov, Dmitry Kamzolov:
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations. NeurIPS 2024 - [i7]Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov:
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size. CoRR abs/2402.05264 (2024) - [i6]Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov:
ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning. CoRR abs/2410.23862 (2024) - 2023
- [i5]Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Martin Takác:
Stochastic Gradient Descent with Preconditioned Polyak Step-size. CoRR abs/2310.02093 (2023) - [i4]Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Robert M. Gower, Martin Takác:
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms. CoRR abs/2312.17369 (2023) - 2022
- [j4]Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov:
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. 10: 100045 (2022) - [j3]Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov:
Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. 37(3): 907-935 (2022) - [c5]Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takác, Pavel E. Dvurechensky, Bin Gu:
The power of first-order smooth optimization for black-box non-smooth problems. ICML 2022: 7241-7265 - [c4]Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar:
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) 2022: 673-683 - [c3]Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác:
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate. NeurIPS 2022 - [i3]Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác:
Stochastic Gradient Methods with Preconditioned Updates. CoRR abs/2206.00285 (2022) - [i2]Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar:
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR abs/2207.10804 (2022) - 2021
- [j2]Anastasiya Ivanova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kamzolov:
Composite optimization for the resource allocation problem. Optim. Methods Softw. 36(4): 720-754 (2021) - [j1]Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Universal intermediate gradient method for convex problems with inexact oracle. Optim. Methods Softw. 36(6): 1289-1316 (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 - 2020
- [c1]Dmitry Kamzolov, Alexander V. Gasnikov, Pavel E. Dvurechensky:
Optimal Combination of Tensor Optimization Methods. OPTIMA 2020: 166-183 - [i1]Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev:
Recent Theoretical Advances in Non-Convex Optimization. CoRR abs/2012.06188 (2020)
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