Dmitry Kamzolov

23 papers A* 5Journal 15Unranked 3

Year	Rank	Type	Title / 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`	OPTAMI: Global Superlinear Convergence of High-order Methods. ICLR Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takác
2024	J	`jnl`	AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size. CoRR Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov
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
2024	J	`jnl`	Stochastic Gradient Methods with Preconditioned Updates. J. Optim. Theory Appl. Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác
2024	J	`jnl`	ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning. CoRR Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov
2023	J	`jnl`	SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms. CoRR Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Robert M. Gower, Martin Takác
2023	J	`jnl`	Stochastic Gradient Descent with Preconditioned Polyak Step-size. CoRR Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Martin Takác
2022	A*	`conf`	A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate. NeurIPS Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác
2022	J	`jnl`	Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov
2022	J	`jnl`	Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov
2022	J	`jnl`	Stochastic Gradient Methods with Preconditioned Updates. CoRR Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác
2022	—	`conf`	Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
2022	J	`jnl`	Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
2022	A*	`conf`	The power of first-order smooth optimization for black-box non-smooth problems. ICML Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takác, Pavel E. Dvurechensky, Bin Gu
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`	Composite optimization for the resource allocation problem. Optim. Methods Softw. Anastasiya Ivanova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kamzolov
2021	J	`jnl`	Universal intermediate gradient method for convex problems with inexact oracle. Optim. Methods Softw. Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2020	—	`conf`	Optimal Combination of Tensor Optimization Methods. OPTIMA Dmitry Kamzolov, Alexander V. Gasnikov, Pavel E. Dvurechensky
2020	J	`jnl`	Recent Theoretical Advances in Non-Convex Optimization. CoRR Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev