| 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 | 110 | 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 | 43 | 2021 |
| Accelerated meta-algorithm for convex optimization problems AV Gasnikov, DM Dvinskikh, PE Dvurechensky, DI Kamzolov, ... Computational Mathematics and Mathematical Physics 61, 17-28, 2021 | 26 | 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 | 26 | 2020 |
| 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 | 7 | 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 | 4 | 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 | 2 | 2024 |
| Numerical methods for large-scale optimal transport N Tupitsa, P Dvurechensky, D Dvinskikh, A Gasnikov arXiv preprint arXiv:2210.11368, 2022 | 2 | 2022 |
| Accelerated alternating minimization and adaptability to strong convexity N Tupitsa arXiv preprint arXiv:2006.09097, 2020 | 2 | 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 | | 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 | | 2024 |
| Federated Learning Can Find Friends That Are Beneficial N Tupitsa, S Horváth, M Takáč, E Gorbunov arXiv preprint arXiv:2402.05050, 2024 | | 2024 |
| Computational Optimal Transport N Tupitsa, P Dvurechensky, D Dvinskikh, A Gasnikov Encyclopedia of Optimization, 1-17, 2023 | | 2023 |
| On accelerated adaptive methods and their modifications for alternating minimization NK Tupitsa Computer Research and Modeling 14 (2), 497-515, 2022 | | 2022 |
