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 | 70 | 2022 |
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 | 40* | 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 | 35 | 2022 |
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 |
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 | 26 | 2015 |
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 | 23 | 2020 |
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 | 19 | 2021 |
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 | 17 | 2023 |
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 | 17 | 2022 |
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 | 16 | 2022 |
Composite optimization for the resource allocation problem A Ivanova, P Dvurechensky, A Gasnikov, D Kamzolov Optimization Methods and Software 36 (4), 720-754, 2021 | 16 | 2021 |
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 | 11 | 2022 |
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 | 10 | 2022 |
Gradient and gradient-free methods for stochastic convex optimization with inexact oracle A Gasnikov, P Dvurechensky, D Kamzolov arXiv preprint arXiv:1502.06259, 2015 | 8 | 2015 |
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 | 7* | 2023 |
Stochastic Gradient Descent with Preconditioned Polyak Step-size F Abdukhakimov, C Xiang, D Kamzolov, M Takáč arXiv preprint arXiv:2310.02093, 2023 | 6 | 2023 |
Stochastic gradient methods with preconditioned updates A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ... Journal of Optimization Theory and Applications 201 (2), 471-489, 2024 | 5 | 2024 |
Exploiting higher-order derivatives in convex optimization methods D Kamzolov, A Gasnikov, P Dvurechensky, A Agafonov, M Takáč arXiv preprint arXiv:2208.13190, 2022 | 5 | 2022 |