On the Complexity of Approximating Wasserstein Barycenters. - Alexey Kroshnin; Nazarii Tupitsa; Darina Dvinskikh; Pavel E. Dvurechensky; Alexander V. Gasnikov; Cesar A. Uribe (ICML, 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)

Multimarginal Optimal Transport by Accelerated Alternating Minimization. - Nazarii Tupitsa; Pavel E. Dvurechensky; Alexander V. Gasnikov; César A. Uribe (CDC, 2020)

On a Combination of Alternating Minimization and Nesterov's Momentum. - Sergey Guminov; Pavel E. Dvurechensky; Nazarii Tupitsa; Alexander V. Gasnikov (ICML, 2021)

Byzantine-Tolerant Methods for Distributed Variational Inequalities. - Nazarii Tupitsa; Abdulla Jasem Almansoori; Yanlin Wu; Martin Takác 001; Karthik Nandakumar; Samuel Horváth; Eduard Gorbunov (NeurIPS, 2023)

Low-Resource Machine Translation through the Lens of Personalized Federated Learning. - Viktor Moskvoretskii; Nazarii Tupitsa; Chris Biemann; Samuel Horváth; Eduard Gorbunov; Irina Nikishina (EMNLP (Findings), 2024)

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad. - Sayantan Choudhury; Nazarii Tupitsa; Nicolas Loizou; Samuel Horváth; Martin Takác 001; Eduard Gorbunov (NeurIPS, 2024)

Federated Learning Can Find Friends That Are Beneficial. - Nazarii Tupitsa; Samuel Horváth; Martin Takác 001; Eduard Gorbunov (CoRR, 2024)

Methods for Convex (L0,L1)-Smooth Optimization: Clipping, Acceleration, and Adaptivity. - Eduard Gorbunov; Nazarii Tupitsa; Sayantan Choudhury; Alen Aliev; Peter Richtárik; Samuel Horváth; Martin Takác 001 (CoRR, 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., 2024)

Methods for Convex (L0, L1)-Smooth Optimization: Clipping, Acceleration, and Adaptivity. - Eduard Gorbunov; Nazarii Tupitsa; Sayantan Choudhury; Alen Aliev; Peter Richtárik; Samuel Horváth; Martin Takác 001 (ICLR, 2025)