Dmitry Kamzolov

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Optimization Methods

Stochastic Gradient

Convex Optimization

Top Venues

Optim. Methods Softw.

J. Optim. Theory Appl.

Publications

Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size. CoRR (2024)
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) (2024)
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)
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) (2024)
Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Martin Takác
Stochastic Gradient Descent with Preconditioned Polyak Step-size. CoRR (2023)
Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Robert M. Gower, Martin Takác
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms. CoRR (2023)
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) (2022)
Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR (2022)
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 (2022)
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)
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)
Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) (2022)
Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác
Stochastic Gradient Methods with Preconditioned Updates. CoRR (2022)
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)
Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov
Universal intermediate gradient method for convex problems with inexact oracle. Optim. Methods Softw. 36 (6) (2021)
Anastasiya Ivanova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kamzolov
Composite optimization for the resource allocation problem. Optim. Methods Softw. 36 (4) (2021)
Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard A. Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev
Recent Theoretical Advances in Non-Convex Optimization. CoRR (2020)
Dmitry Kamzolov, Alexander V. Gasnikov, Pavel E. Dvurechensky
Optimal Combination of Tensor Optimization Methods. OPTIMA (2020)