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Mohammad S. Alkousa
Mohammad S. Alkousa
MIPT, HSE
Verified email at phystech.edu - Homepage
Title
Cited by
Cited by
Year
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
452021
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
352020
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
302021
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
292019
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
202020
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
192019
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
192018
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
142020
Mirror descent and constrained online optimization problems
AA Titov, FS Stonyakin, AV Gasnikov, MS Alkousa
International Conference on Optimization and Applications, 64-78, 2018
142018
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
142018
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
122020
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
112021
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
92019
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
82022
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
72021
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
72019
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
52022
On some stochastic mirror descent methods for constrained online optimization problems
MS Alkousa
Компьютерные исследования и моделирование 11 (2), 205-217, 2019
52019
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
42022
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
32022
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