Seguir
Dmitry Kamzolov
Dmitry Kamzolov
Research Associate, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Dirección de correo verificada de mbzuai.ac.ae
Título
Citado por
Citado por
Año
Recent theoretical advances in non-convex optimization
M Danilova, P Dvurechensky, A Gasnikov, E Gorbunov, S Guminov, ...
High-Dimensional Optimization and Probability: With a View Towards Data …, 2022
652022
Universal intermediate gradient method for convex problems with inexact oracle
D Kamzolov, P Dvurechensky, AV Gasnikov
Optimization Methods and Software 36 (6), 1289-1316, 2021
39*2021
Accelerated meta-algorithm for convex optimization problems
AV Gasnikov, DM Dvinskikh, PE Dvurechensky, DI Kamzolov, ...
Computational Mathematics and Mathematical Physics 61, 17-28, 2021
33*2021
The power of first-order smooth optimization for black-box non-smooth problems
A Gasnikov, A Novitskii, V Novitskii, F Abdukhakimov, D Kamzolov, ...
Proceedings of the 39th International Conference on Machine Learning 162 …, 2022
312022
Universal method with inexact oracle and its applications for searching equillibriums in multistage transport problems
A Gasnikov, P Dvurechensky, D Kamzolov, Y Nesterov, V Spokoiny, ...
arXiv preprint arXiv:1506.00292, 2015
262015
Efficient numerical methods to solve sparse linear equations with application to pagerank
A Anikin, A Gasnikov, A Gornov, D Kamzolov, Y Maximov, Y Nesterov
Optimization Methods and Software 37 (3), 907-935, 2022
25*2022
Near-optimal hyperfast second-order method for convex optimization and its sliding
D Kamzolov, A Gasnikov
arXiv preprint arXiv:2002.09050, 2020
25*2020
Optimal combination of tensor optimization methods
D Kamzolov, A Gasnikov, P Dvurechensky
International Conference on Optimization and Applications, 166-183, 2020
232020
An accelerated second-order method for distributed stochastic optimization
A Agafonov, P Dvurechensky, G Scutari, A Gasnikov, D Kamzolov, ...
2021 60th IEEE Conference on Decision and Control (CDC), 2407-2413, 2021
182021
Composite optimization for the resource allocation problem
A Ivanova, P Dvurechensky, A Gasnikov, D Kamzolov
Optimization Methods and Software 36 (4), 720-754, 2021
162021
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization
P Dvurechensky, D Kamzolov, A Lukashevich, S Lee, E Ordentlich, ...
EURO Journal on Computational Optimization 10, 100045, 2022
152022
Inexact tensor methods and their application to stochastic convex optimization
A Agafonov, D Kamzolov, P Dvurechensky, A Gasnikov, M Takáč
Optimization Methods and Software, 1-42, 2023
142023
A Damped Newton Method Achieves Global and Local Quadratic Convergence Rate
S Hanzely, D Kamzolov, D Pasechnyuk, A Gasnikov, P Richtárik, M Takáč
Advances in Neural Information Processing Systems, 2022
132022
Flecs: A federated learning second-order framework via compression and sketching
A Agafonov, D Kamzolov, R Tappenden, A Gasnikov, M Takáč
arXiv preprint arXiv:2206.02009, 2022
102022
Suppressing poisoning attacks on federated learning for medical imaging
N Alkhunaizi, D Kamzolov, M Takáč, K Nandakumar
International Conference on Medical Image Computing and Computer-Assisted …, 2022
92022
Gradient and gradient-free methods for stochastic convex optimization with inexact oracle
A Gasnikov, P Dvurechensky, D Kamzolov
arXiv preprint arXiv:1502.06259, 2015
82015
Cubic Regularization is the Key! The First Accelerated Quasi-Newton Method with a Global Convergence Rate of for Convex Functions
D Kamzolov, K Ziu, A Agafonov, M Takáč
arXiv preprint arXiv:2302.04987, 2023
6*2023
Stochastic gradient descent with preconditioned polyak step-size
F Abdukhakimov, C Xiang, D Kamzolov, M Takáč
arXiv preprint arXiv:2310.02093, 2023
52023
Stochastic gradient methods with preconditioned updates
A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ...
Journal of Optimization Theory and Applications, 1-19, 2024
42024
Exploiting higher-order derivatives in convex optimization methods
D Kamzolov, A Gasnikov, P Dvurechensky, A Agafonov, M Takáč
arXiv preprint arXiv:2208.13190, 2022
42022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20