Публикации

Xiaokai Chen, Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov. A parameter-free decentralized algorithm for composite convex optimization (2025) 2025 IEEE 64th Conference on Decision and Control (CDC) A

Roman Krawtschenko, César A Uribe, Alexander Gasnikov, Pavel Dvurechensky. Distributed optimization with quantization for computing wasserstein barycenters (2025) 2025 IEEE 64th Conference on Decision and Control (CDC) A

Dmitry Kovalev, Alexander Gasnikov, Grigory Malinovsky. An optimal algorithm for strongly convex min-min optimization (2025) The 41st Conference on Uncertainty in Artificial Intelligence A

Dmitrii Pasechniuk, Pavel Dvurechensky, César A Uribe, Alexander Gasnikov. Decentralised convex optimisation with probability-proportional-to-size quantization (2025) Q1

Egor Gladin, Alexander Gasnikov, Pavel Dvurechensky. Accuracy certificates for convex minimization with inexact oracle (2025) Journal of Optimization Theory and Applications. DOI Q1

Nikita Kornilov, Mohammad Alkousa, Eduard Gorbunov, Fedor Stonyakin, Pavel Dvurechensky, Alexander Gasnikov. Intermediate gradient methods with relative inexactness (2025) Journal of Optimization Theory and Applications Q1

Ilya Kuruzov, Mohammad Alkousa, Fedor Stonyakin, Alexander Gasnikov. Gradient-type methods for decentralized optimization problems with Polyak–Łojasiewicz condition over time-varying networks (2025) Optimization Methods and Software, 1–28. DOI Q2

Aleksandr Beznosikov, Valentin Samokhin, Alexander Gasnikov. Distributed saddle point problems: lower bounds, near-optimal and robust algorithms (2025) Optimization Methods and Software. DOI Q2

Ilya Kuruzov, Alexander Rogozin, Demyan Yarmoshik, Alexander Gasnikov. The mirror-prox sliding method for non-smooth decentralized saddle-point problems (2025) Optimization Methods and Software. DOI Q2

Aleksandr Vladimirovich Lobanov, Alexander Vladimirovich Gasnikov. Survey of modern smooth optimization algorithms with comparison oracle (2025) Doklady Mathematics Q2

Alexander Rogozin, Nhat Trung Nguyen, Hamed Azami Zenuzagh, Alexander Gasnikov. Dual Smoothing for Decentralized Optimization (2025) Lecture Notes in Computer Science (OPTIMA 2025) DOI Q2

Alexander Gasnikov, Angelia Nedich. Preface for the special issue advances in distributed optimization (2025) Optimization Methods and Software Q2

Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, Martin Takáč. Flecs: A federated learning second-order framework via compression and sketching (2025) Optimization Methods and Software Q2

Aleksandr Beznosikov, Ivan Stepanov, Artyom Voronov, Alexander Gasnikov. One-point feedback for composite optimization with applications to distributed and federated learning (2025) Optimization Methods and Software Q2

Oleg S Savchuk, Fedor Sergeevich Stonyakin, Aleksandr A Vyguzov, Mohammad Soud Alkousa, Alexander Vladimirovich Gasnikov. Adaptive Primal–Dual Methods with an Inexact Oracle for Relatively Smooth Optimization Problems and Their Applications to Recovering Low-Rank Matrices (2025) Computational Mathematics and Mathematical Physics Q2