| Computational optimal transport: Complexity by accelerated gradient descent is better than by Sinkhorn’s algorithm P Dvurechensky, A Gasnikov, A Kroshnin International conference on machine learning, 1367-1376, 2018 | 331 | 2018 |
| Decentralize and randomize: Faster algorithm for Wasserstein barycenters P Dvurechenskii, D Dvinskikh, A Gasnikov, C Uribe, A Nedich Advances in Neural Information Processing Systems 31, 2018 | 125 | 2018 |
| On the complexity of approximating Wasserstein barycenters A Kroshnin, N Tupitsa, D Dvinskikh, P Dvurechensky, A Gasnikov, C Uribe International conference on machine learning, 3530-3540, 2019 | 116 | 2019 |
| Stochastic intermediate gradient method for convex problems with stochastic inexact oracle P Dvurechensky, A Gasnikov Journal of Optimization Theory and Applications 171, 121-145, 2016 | 115 | 2016 |
| Stochastic gradient methods with inexact oracle A Gasnikov, P Dvurechensky, Y Nesterov arXiv preprint arXiv:1411.4218, 2014 | 106* | 2014 |
| On a combination of alternating minimization and Nesterov’s momentum S Guminov, P Dvurechensky, N Tupitsa, A Gasnikov International conference on machine learning, 3886-3898, 2021 | 104* | 2021 |
| Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1392-1393, 2019 | 81 | 2019 |
| Dual approaches to the minimization of strongly convex functionals with a simple structure under affine constraints AS Anikin, AV Gasnikov, PE Dvurechensky, AI Tyurin, AV Chernov Computational Mathematics and Mathematical Physics 57, 1262-1276, 2017 | 80* | 2017 |
| 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 | 79 | 2022 |
| Learning supervised pagerank with gradient-based and gradient-free optimization methods L Bogolubsky, P Dvurechenskii, A Gasnikov, G Gusev, Y Nesterov, ... Advances in neural information processing systems 29, 2016 | 79 | 2016 |
| Primal–dual accelerated gradient methods with small-dimensional relaxation oracle Y Nesterov, A Gasnikov, S Guminov, P Dvurechensky Optimization Methods and Software 36 (4), 773-810, 2021 | 77 | 2021 |
| Optimal tensor methods in smooth convex and uniformly convexoptimization A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1374-1391, 2019 | 76* | 2019 |
| Inexact model: A framework for optimization and variational inequalities F Stonyakin, A Tyurin, A Gasnikov, P Dvurechensky, A Agafonov, ... Optimization Methods and Software 36 (6), 1155-1201, 2021 | 68* | 2021 |
| Fast primal-dual gradient method for strongly convex minimization problems with linear constraints A Chernov, P Dvurechensky, A Gasnikov Discrete Optimization and Operations Research: 9th International Conference …, 2016 | 66 | 2016 |
| Mirror descent and convex optimization problems with non-smooth inequality constraints A Bayandina, P Dvurechensky, A Gasnikov, F Stonyakin, A Titov Large-scale and distributed optimization, 181-213, 2018 | 64 | 2018 |
| Gradient methods for problems with inexact model of the objective FS Stonyakin, D Dvinskikh, P Dvurechensky, A Kroshnin, O Kuznetsova, ... Mathematical Optimization Theory and Operations Research: 18th International …, 2019 | 60 | 2019 |
| Distributed computation of Wasserstein barycenters over networks CA Uribe, D Dvinskikh, P Dvurechensky, A Gasnikov, A Nedić 2018 IEEE Conference on Decision and Control (CDC), 6544-6549, 2018 | 58 | 2018 |
| About accelerated randomized methods A Gasnikov, P Dvurechensky, I Usmanova arXiv preprint arXiv:1508.02182, 2015 | 53* | 2015 |
| An accelerated method for derivative-free smooth stochastic convex optimization E Gorbunov, P Dvurechensky, A Gasnikov arXiv preprint arXiv:1802.09022, 2018 | 50* | 2018 |
| Randomized similar triangles method: A unifying framework for accelerated randomized optimization methods (coordinate descent, directional search, derivative-free method) P Dvurechensky, A Gasnikov, A Tiurin arXiv preprint arXiv:1707.08486, 2017 | 50 | 2017 |
Alexander GasnikovMIPTVerified email at mipt.ru
