Dmitry Kamzolov

According to our database, Dmitry Kamzolov authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stochastic Gradient Methods with Preconditioned Updates.

Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác

J. Optim. Theory Appl., May, 2024

Inexact tensor methods and their application to stochastic convex optimization.

Artem Agafonov, Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov, Martin Takác

Optim. Methods Softw., 2024

ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning.

Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov

CoRR, 2024

AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size.

Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov

CoRR, 2024

Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness.

Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms.

Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Robert M. Gower, Martin Takác

CoRR, 2023

Stochastic Gradient Descent with Preconditioned Polyak Step-size.

Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Martin Takác

CoRR, 2023

2022

Efficient numerical methods to solve sparse linear equations with application to PageRank.

Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov

Optim. Methods Softw., 2022

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.

Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov

EURO J. Comput. Optim., 2022

A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate.

Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging.

Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

The power of first-order smooth optimization for black-box non-smooth problems.

Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takác, Pavel E. Dvurechensky, Bin Gu

Proceedings of the International Conference on Machine Learning, 2022

2021

Universal intermediate gradient method for convex problems with inexact oracle.

Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov

Optim. Methods Softw., 2021

Composite optimization for the resource allocation problem.

Anastasiya Ivanova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kamzolov

Optim. Methods Softw., 2021

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

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Recent Theoretical Advances in Non-Convex Optimization.

Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev

CoRR, 2020

Optimal Combination of Tensor Optimization Methods.

Dmitry Kamzolov, Alexander V. Gasnikov, Pavel E. Dvurechensky

Proceedings of the Optimization and Applications - 11th International Conference, 2020