Публикации

O. S. Savchuk, M. S. Alkousa, A. S. Shushko, A. A. Vyguzov, F. S. Stonyakin, D. A. Pasechnyuk, A. V. Gasnikov. Accelerated Bregman gradient methods for relatively smooth and relatively Lipschitz continuous minimization problems (2024)

Georgii Bychkov, Darina Dvinskikh, Anastasia Antsiferova, Alexander Gasnikov, Aleksandr Lobanov. Accelerated zero-order SGD under high-order smoothness and overparameterized regime (2024)

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

Andrey Sadchikov, Savelii Chezhegov, Aleksandr Beznosikov, Alexander Gasnikov. Local SGD for near-quadratic problems: Improving convergence under unconstrained noise conditions (2024)

Boris Chervonenkis, Andrei Krasnov, Alexander Gasnikov, Aleksandr Lobanov. Nesterov’s Method of Dichotomy via Order Oracle: The Problem of Optimizing a Two-Variable Function on a Square (2024) International Conference on Optimization and Applications

Victoria Guseva, Ilya Sklonin, Irina Podlipnova, Demyan Yarmoshik, Alexander Gasnikov. An Equilibrium Dynamic Traffic Assignment Model with Linear Programming Formulation (2024) International Conference on Optimization and Applications

Roman Emelyanov, Andrey Tikhomirov, Aleksandr Beznosikov, Alexander Gasnikov. Extragradient Sliding for Composite Non-monotone Variational Inequalities (2024) International Conference on Optimization and Applications

Mark Obozov, Makar Baderko, Stepan Kulibaba, Nikolay Kutuzov, Alexander Gasnikov. Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance (2024)

A. Gasnikov, V. Temlyakov. On greedy approximation in complex Banach spaces (2024)

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander Gasnikov, Dmitry Kovalev. Decentralized Optimization with Coupled Constraints (2024)

Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander Gasnikov, Samuel Horváth, Martin Takáč, Eduard Gorbunov. Gradient clipping improves adagrad when the noise is heavy-tailed (2024)

Savelii Chezhegov, Sergey Skorik, Nikolas Khachaturov, Danil Shalagin, Aram Avetisyan, Martin Takáč, Yaroslav Kholodov, Aleksandr Beznosikov. Local methods with adaptivity via scaling (2024)

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

Sergey Stanko, Timur Karimullin, Aleksandr Beznosikov, Alexander Gasnikov. Accelerated Methods with Compression for Horizontal and Vertical Federated Learning (2024)

Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov, Alexander Gasnikov. Sparse concept bottleneck models: Gumbel tricks in contrastive learning (2024)