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 | 43 | 2021 |
Accelerated methods for saddle-point problem MS Alkousa, AV Gasnikov, DM Dvinskikh, DA Kovalev, FS Stonyakin Computational Mathematics and Mathematical Physics 60, 1787-1809, 2020 | 35 | 2020 |
Solving smooth min-min and min-max problems by mixed oracle algorithms E Gladin, A Sadiev, A Gasnikov, P Dvurechensky, A Beznosikov, ... International Conference on Mathematical Optimization Theory and Operations …, 2021 | 30 | 2021 |
Accelerated methods for composite non-bilinear saddle point problem M Alkousa, D Dvinskikh, F Stonyakin, A Gasnikov, D Kovalev arXiv preprint arXiv:1906.03620, 2019 | 29 | 2019 |
Inexact relative smoothness and strong convexity for optimization and variational inequalities by inexact model F Stonyakin, A Tyurin, A Gasnikov, P Dvurechensky, A Agafonov, ... arXiv preprint arXiv:2001.09013, 2020 | 20 | 2020 |
New version of mirror prox for variational inequalities with adaptation to inexactness FS Stonyakin, EA Vorontsova, MS Alkousa International Conference on Optimization and Applications, 427-442, 2019 | 19 | 2019 |
Generalized mirror prox for monotone variational inequalities: Universality and inexact oracle F Stonyakin, A Gasnikov, P Dvurechensky, M Alkousa, A Titov arXiv preprint arXiv:1806.05140, 2018 | 19 | 2018 |
Analogues of switching subgradient schemes for relatively Lipschitz-continuous convex programming problems AA Titov, FS Stonyakin, MS Alkousa, SS Ablaev, AV Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2020 | 14 | 2020 |
Mirror descent and constrained online optimization problems AA Titov, FS Stonyakin, AV Gasnikov, MS Alkousa International Conference on Optimization and Applications, 64-78, 2018 | 14 | 2018 |
Adaptive mirror descent algorithms in convex programming problems with Lipschitz constraints FS Stonyakin, MS Alkousa, AN Stepanov, MA Barinov Trudy Instituta Matematiki i Mekhaniki URO RAN 24 (2), 266-279, 2018 | 13 | 2018 |
Solving strongly convex-concave composite saddle point problems with a small dimension of one of the variables E Gladin, I Kuruzov, F Stonyakin, D Pasechnyuk, M Alkousa, A Gasnikov arXiv preprint arXiv:2010.02280, 2020 | 12 | 2020 |
Algorithms for solving variational inequalities and saddle point problems with some generalizations of Lipschitz property for operators AA Titov, FS Stonyakin, MS Alkousa, AV Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2021 | 11 | 2021 |
Adaptive mirror descent algorithms for convex and strongly convex optimization problems with functional constraints FS Stonyakin, M Alkousa, AN Stepanov, AA Titov Journal of Applied and Industrial Mathematics 13 (3), 557-574, 2019 | 9 | 2019 |
Generalized mirror prox algorithm for monotone variational inequalities: Universality and inexact oracle F Stonyakin, A Gasnikov, P Dvurechensky, A Titov, M Alkousa Journal of Optimization Theory and Applications 194 (3), 988-1013, 2022 | 8 | 2022 |
Gradient-type adaptive methods for relatively Lipschitz convex optimization problems F Stonyakin, A Titov, M Alkousa, O Savchuk, D Pasechnyuk arXiv preprint.—2021b.—https://arxiv. org/pdf/2107.05765, 2021 | 7 | 2021 |
On some methods for strongly convex optimization problems with one functional constraint FS Stonyakin, MS Alkousa, AA Titov, VV Piskunova Mathematical Optimization Theory and Operations Research: 18th International …, 2019 | 7 | 2019 |
On some stochastic mirror descent methods for constrained online optimization problems MS Alkousa Компьютерные исследования и моделирование 11 (2), 205-217, 2019 | 5 | 2019 |
Some adaptive first-order methods for variational inequalities with relatively strongly monotone operators and generalized smoothness SS Ablaev, AA Titov, FS Stonyakin, MS Alkousa, A Gasnikov International Conference on Optimization and Applications, 135-150, 2022 | 4 | 2022 |
Subgradient methods for non-smooth optimization problems with some relaxation of sharp minimum SS Ablaev, DV Makarenko, FS Stonyakin, MS Alkousa, IV Baran arXiv preprint arXiv:2212.06055, 2022 | 3 | 2022 |
Gradient-type methods for optimization problems with polyak-łojasiewicz condition: Early stopping and adaptivity to inexactness parameter IA Kuruzov, FS Stonyakin, MS Alkousa International Conference on Optimization and Applications, 18-32, 2022 | 3 | 2022 |