Nazarii Tupitsa
Nazarii Tupitsa
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Cited by
Cited by
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
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
Multimarginal optimal transport by accelerated alternating minimization
N Tupitsa, P Dvurechensky, A Gasnikov, CA Uribe
2020 59th ieee conference on decision and control (cdc), 6132-6137, 2020
Accelerated meta-algorithm for convex optimization problems
AV Gasnikov, DM Dvinskikh, PE Dvurechensky, DI Kamzolov, ...
Computational Mathematics and Mathematical Physics 61, 17-28, 2021
Alternating minimization methods for strongly convex optimization
N Tupitsa, P Dvurechensky, A Gasnikov, S Guminov
Journal of Inverse and Ill-posed Problems 29 (5), 721-739, 2021
Strongly convex optimization for the dual formulation of optimal transport
N Tupitsa, A Gasnikov, P Dvurechensky, S Guminov
International Conference on Mathematical Optimization Theory and Operations …, 2020
Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints
M Kubentayeva, D Yarmoshik, M Persiianov, A Kroshnin, E Kotliarova, ...
Computational Management Science 21 (1), 15, 2024
Numerical methods for large-scale optimal transport
N Tupitsa, P Dvurechensky, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2210.11368, 2022
Accelerated alternating minimization and adaptability to strong convexity
N Tupitsa
arXiv preprint arXiv:2006.09097, 2020
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
S Choudhury, N Tupitsa, N Loizou, S Horvath, M Takac, E Gorbunov
arXiv preprint arXiv:2403.02648, 2024
Byzantine-Tolerant Methods for Distributed Variational Inequalities
N Tupitsa, AJ Almansoori, Y Wu, M Takac, K Nandakumar, S Horváth, ...
Advances in Neural Information Processing Systems 36, 2024
Federated Learning Can Find Friends That Are Beneficial
N Tupitsa, S Horváth, M Takáč, E Gorbunov
arXiv preprint arXiv:2402.05050, 2024
Computational Optimal Transport
N Tupitsa, P Dvurechensky, D Dvinskikh, A Gasnikov
Encyclopedia of Optimization, 1-17, 2023
On accelerated adaptive methods and their modifications for alternating minimization
NK Tupitsa
Computer Research and Modeling 14 (2), 497-515, 2022
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