Nazarii Tupitsa

According to our database, Nazarii Tupitsa authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints.

Meruza Kubentayeva, Demyan Yarmoshik, Michael Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander V. Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov

Comput. Manag. Sci., June, 2024

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad.

Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horváth, Martin Takác, Eduard Gorbunov

CoRR, 2024

Federated Learning Can Find Friends That Are Beneficial.

Nazarii Tupitsa, Samuel Horváth, Martin Takác, Eduard Gorbunov

CoRR, 2024

2023

Byzantine-Tolerant Methods for Distributed Variational Inequalities.

Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

On a Combination of Alternating Minimization and Nesterov's Momentum.

Sergey Guminov, Pavel E. Dvurechensky, Nazarii Tupitsa, Alexander V. Gasnikov

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Multimarginal Optimal Transport by Accelerated Alternating Minimization.

Nazarii Tupitsa, Pavel E. Dvurechensky, Alexander V. Gasnikov, César A. Uribe

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

On the Complexity of Approximating Wasserstein Barycenter.

Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe

CoRR, 2019

On the Complexity of Approximating Wasserstein Barycenters.

Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe

Proceedings of the 36th International Conference on Machine Learning, 2019