Publications

Maxim Divilkovskiy, Alexander Gasnikov. Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks The 40th Annual AAAI Conference on Artificial Intelligence A*

Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey Savchenko, Martin Takáč, Alexander Gasnikov. Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation (2026) Journal of Optimization Theory and Applications DOI Q1

Sergey Stanko, Timur Karimullin, Aleksandr Beznosikov, Alexander Gasnikov. Accelerated Methods with Compression for Horizontal and Vertical Federated Learning: S. Stanko et al. (2026) Journal of Optimization Theory and Applications Q1

Artem Agafonov, Anton Novitskii, Alexander Rogozin, Yury Sokolov, Dmitry Kamzolov, Alexander Dyakonov, Martin Takáč, Alexander Gasnikov. Decentralized Inexact Cubic Newton Method with Consensus Procedure (2026). IEEE Access, 14, 83513–83540. DOI: 10.1109/ACCESS.2026.3695635. Q1

Nail Bashirov, Alexander Gasnikov, Aleksandr Lobanov. Zeroth-order methods for non-smooth stochastic problems under heavy-tailed noise (2026) Optimization Methods and Software Q2

Denis Belomestny, Alexander Gasnikov, Egor Gladin, Alexey Naumov, Artemy Rubtsov, Yuri Sapronov, Daniil Tiapkin, Nikita Yudin. Mathematical methods of reinforcement learning (2026). Успехи математических наук, 81:4(490), 3–90. DOI: 10.4213/rm10328. Q2

Anastasiia Murzina, Ilya Kuruzov, Alexander Gasnikov. Decentralized Gradient Descent with an Increasing Consensus Procedure Accuracy (2026). MOTOR 2026. Lecture Notes in Computer Science, 16687, 32–47. DOI: 10.1007/978-3-032-31390-4_3. Q2

Anton Novitskii, Alexander Rogozin, Alexander Gasnikov. Decentralized Gradient Descent with an Increasing Consensus Procedure Accuracy (2026). MOTOR 2026. Lecture Notes in Computer Science, 16687, 48–63. DOI: 10.1007/978-3-032-31390-4_4. Q2

Demyan Yarmoshik, Igor Ignashin, Ekaterina Sikacheva, Alexander Gasnikov. Modeling skiers flows via Wardrope equilibrium in closed capacitated networks (2026) DOI Q3

Ignashin I., Yarmoshik D., Raigorodskii A. STOCHASTIC ORIGIN FRANK–WOLFE METHOD FOR TRAFFIC ASSIGNMENT (2026) Journal of Mathematical Sciences arxiv, DOI Q3

Artem Vasin, Alexander Gasnikov. Lower and upper bounds of the convergence rate of gradient methods with composite noise in gradient (2026) arXiv preprint arXiv:2603.12376

Demyan Yarmoshik, Nhat Trung Nguyen, Alexander Rogozin, Alexander Gasnikov. Decentralized Optimization with Mixed Affine Constraints (2026)  arxiv

Ali Jnadi, Hadi Salloum, Yaroslav Kholodov, Alexander Gasnikov, Karam Almaghout. SCOPE: Smooth Convex Optimization for Planned Evolution of Deformable Linear Objects (2026) arXiv preprint arXiv:2601.19742

Hadi Salloum, Ali Jnadi, Yaroslav Kholodov, Alexander Gasnikov. Quantum-Inspired Episode Selection for Monte Carlo Reinforcement Learning via QUBO Optimization (2026) arXiv preprint arXiv:2601.17570

Boris Prokhorov, Semyon Chebykin, Alexander Gasnikov, Aleksandr Beznosikov. Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity (2026) arXiv preprint arXiv:2601.01160