Публикации

Nikolay Kutuzov, Makar Baderko, Stepan Kulibaba, Artem Dzhalilov, Daniel Bobrov, Maxim Mashtaler, Alexander Gasnikov. AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models (2025) arXiv preprint arXiv:2508.18182

Stepan Kulibaba, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander Gasnikov, Aleksei Shpilman. Kompeteai: Accelerated autonomous multi-agent system for end-to-end pipeline generation for machine learning problems (2025) arXiv preprint arXiv:2508.10177

Ilya Kuruzov, Xiaokai Chen, Gesualdo Scutari, Alexander Gasnikov. Adaptive stepsize selection in decentralized convex optimization (2025) arXiv preprint arXiv:2507.23725

Nikita Kornilov, Philip Zmushko, Andrei Semenov, Mark Ikonnikov, Alexander Gasnikov, Alexander Beznosikov. Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under (L0;L1)-Smoothness (2025) arXiv preprint arXiv:2502.07923

Aleksandr Lobanov, Alexander Gasnikov. Power of generalized smoothness in stochastic convex optimization: First-and zero-order algorithms (2025) arXiv preprint

Hadi Salloum, Ali Jnadi, Ahmad Hamdan, Yaroslav Kholodov, Alexander Gasnikov. Tensor-Driven Optimization for Formula 1 Resource-Constrained Scheduling (2025) International Conference on Computational Optimization (ICOMP)

Hadi Salloum, Kirill Novoselov, Aleksandr Pochtarev, Alexander Gasnikov. Higher-Order vs. Quadratic Binary Optimization: is Better for Probability Optimization with Tensor Sampling? (2025) International Conference on Computational Optimization (ICOMP)

Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takáč. Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness (2024) Scopus DOI A*

Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik. High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise (2024) Scopus DOI A*

Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov, Innokentiy Andreevich Shibaev, Eduard Gorbunov, Samuel Horváth. Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance (2024) Scopus DOI A*

Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov. Achieving linear convergence with parameter-free algorithms in decentralized optimization (2024) Advances in Neural Information Processing Systems A*

Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takác, Alexander Gasnikov, Dmitry Kamzolov. Exploring jacobian inexactness in second-order methods for variational inequalities: lower bounds, optimal algorithms and quasi-newton approximations (2024) Advances in Neural Information Processing Systems A*

Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Aleksandr Korotin. Optimal flow matching: Learning straight trajectories in just one step (2024) Advances in Neural Information Processing Systems A*

Dmitry Kamzolov, Dmitry Pasechnyuk, Artem Agafonov, Alexander Gasnikov, Martin Takáč. Optami: Global superlinear convergence of high-order methods (2024) A*

Dmitry Kovalev, Ekaterina Borodich, Alexander Gasnikov, Dmitrii Feoktistov. Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks (2024) A*