Gasnikov Alexander Vladimirovich

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

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

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

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander Gasnikov, Dmitry Kovalev. Decentralized Optimization with Coupled Constraints (2025) The International Conference on Learning Representations (ICLR) A*

Savelii Chezhegov, Klyukin Yaroslav, Andrei Semenov, Aleksandr Beznosikov, Alexander Gasnikov, Samuel Horváth, Martin Takáč, Eduard Gorbunov (2025) Proceedings of the 42nd International Conference on Machine Learning (ICML) A*

Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev. On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms (2025) Forty-second International Conference on Machine Learning (ICML) A*

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

Александр Владимирович Лобанов, Александр Владимирович Гасников. Обзор современных алгоритмов гладкой оптимизации со сравнительным оракулом (2025) Доклады Российской академии наук. Математика, информатика, процессы управления Q2

Олег Сергеевич Савчук, Фёдор Сергеевич Стонякин, Александр Альбертович Выгузов, Мохаммад Соуд Алкуса, Александр Владимирович Гасников. Адаптивные прямо-двойственные методы с неточным оракулом для относительно гладких оптимизационных задач и их приложения к задачам восстановления малоранговых матриц (2025) Журнал вычислительной математики и математической физики Q2

Александр Владимирович Гасников, Владимир Николаевич Темляков. Некоторые оценки снизу для оптимального восстановления функций со смешанной гладкостью по выборке (2025) Математический сборник Q2

SS ABLAEV, FS STONYaKIN, MN FEDOTOV, MS ALKUSA, OS SAVChUK, AV GASNIKOV. ISSLEDOVANIE GRADIENTNOGO METODA S NETOChNOY INFORMATsIEY O GRADIENTE NA NEKOTORYKh KLASSAKh (L0, L1)-GLADKIKh NEVYPUKLYKh ZADACh (2025) Avtomatika i telemehanika Q3

Seydamet Serverovich Ablaev, Fedor Sergeevich Stonyakin, Maksim Nikolaevich Fedotov, Mohammad Soud Alkousa, Oleg S Savchuk, Alexander Vladimirovich Gasnikov. Study of gradient method with inexact gradient information on some classes of (L0;L1)-smooth non-convex problems (2025) Avtomatika i Telemekhanika Q3

Сейдамет Серверович Аблаев, Фёдор Сергеевич Стонякин, Максим Николаевич Федотов, Мохаммад Соуд Алкуса, Олег Сергеевич Савчук, Александр Владимирович Гасников. Исследование градиентного метода с неточной информацией о градиенте на некоторых классах (L0;L1)-гладких невыпуклых задач (2025) Автоматика и телемеханика Q3

SS Ablaev, FS Stonyakin, MN Fedotov, MS Alkousa, OS Savchuk, AV Gasnikov. A Gradient Method with Inexact Gradient Information: A Study on Some Classes of (L0, L1)-Smooth Nonconvex Problems (2025) Automation and Remote Control Q3

Artem Vasin, Valery Krivchenko, Dmitry Kovalev, Fedyor Stonyakin, Nazari Tupitsa, Pavel Dvurechensky, Mohammad Alkousa, Nikita Kornilov, Alexander Gasnikov. On Solving Minimization and Min-Max Problems by First-Order Methods with Relative Error in Gradients (2025) 

Hadi Salloum, Roland Hildebrand, Nhat Trung Nguyen, Vitali Pirau, Amer Al Badr, Mohammad Alkousa, Alexander Gasnikov. Speeding up the Goemans-Williamson randomized procedure by difference-of-convex optimization (2026) arXiv preprint arXiv:2512.08852

Aleksandr Shestakov, Nail Bashirov, Andrei Semenov, Alexander Gasnikov, Martin Takáč, Aleksandr Beznosikov, Dmitry Kamzolov. Adaptive Regularized Newton Method with Inexact Hessian (2026) arXiv preprint arXiv:2512.08775

Mark Obozov, Michael Diskin, Aleksandr Beznosikov, Alexander Gasnikov, Serguei Barannikov. Synthetic Proofs with Tool-Integrated Reasoning: Contrastive Alignment for LLM Mathematics with Lean (2025) Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)

Ilgam Latypov, Alexandra Suvorikova, Alexey Kroshnin, Alexander Gasnikov, Yuriy Dorn. UCB-type Algorithm for Budget-Constrained Expert Learning (2025) arXiv preprint arXiv:2510.22654

Laith Nayal, Hadi Salloum, Ahmad Taha, Yaroslav Kholodov, Alexander Gasnikov. Training-Free Out-Of-Distribution Segmentation With Foundation Models (2025) arXiv preprint arXiv:2510.02909

Artem Agafonov, Vladislav Ryspayev, Samuel Horváth, Alexander Gasnikov, Martin Takáč, Slavomir Hanzely. Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees (2025) arXiv preprint arXiv:2508.19712

Valentin Leplat, Sergio Mayorga, Roland Hildebrand, Alexander Gasnikov. Norm-Constrained Flows and Sign-Based Optimization: Theory and Algorithms (2025) arXiv preprint arXiv:2508.18510

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*

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*

Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov. Acceleration exists! optimization problems when oracle can only compare objective function values (2024) A*

Puchkin, N., Gorbunov, E., Kutuzov, N., Gasnikov, A. Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems (2024) Proceedings of Machine Learning Research, 238, pp. 856-864. Scopus A

Nazykov, R., Shestakov, A., Solodkin, V., Beznosikov, A., Gidel, G., Gasnikov, A. Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases (2024) Proceedings of Machine Learning Research, 238, pp. 4870-4878. Scopus A

Lobanov, A., Bashirov, N., Gasnikov, A. The “Black-Box” Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation (2024) Journal of Optimization Theory and Applications, 203 (3), pp. 2451-2486. Scopus DOI Q1

Gorbunov, E., Danilova, M., Shibaev, I., Dvurechensky, P., Gasnikov, A. High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise (2024) Journal of Optimization Theory and Applications, 203 (3), pp. 2679-2738. Scopus DOI Q1

Klimza, A., Gasnikov, A., Stonyakin, F., Alkousa, M. Universal methods for variational inequalities: Deterministic and stochastic cases (2024) Chaos, Solitons and Fractals, 187, статья № 115418, . Scopus DOI Q1

Pichugin, A., Pechin, M., Beznosikov, A., Novitskii, V., Gasnikov, A. Method with batching for stochastic finite-sum variational inequalities in non-Euclidean setting (2024) Chaos, Solitons and Fractals, 187, статья № 115396, . Scopus DOI Q1

Alkousa, M., Stonyakin, F., Gasnikov, A., Abdo, A., Alcheikh, M. Higher degree inexact model for optimization problems (2024) Chaos, Solitons and Fractals, 186, статья № 115292, . Scopus DOI Q1

Statkevich, E., Bondar, S., Dvinskikh, D., Gasnikov, A., Lobanov, A. Gradient-free algorithm for saddle point problems under overparametrization (2024) Chaos, Solitons and Fractals, 185, статья № 115048, . Scopus DOI Q1

Dvurechensky, P., Ostroukhov, P., Gasnikov, A., Uribe, C.A., Ivanova, A. Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods (2024) Optimization Methods and Software, 39 (5), pp. 1068-1103. Scopus DOI Q1

Rogozin, A., Beznosikov, A., Dvinskikh, D., Kovalev, D., Dvurechensky, P., Gasnikov, A. Decentralized saddle point problems via non-Euclidean mirror prox (2024) Optimization Methods and Software. Scopus DOI Q1

Agafonov, A., Kamzolov, D., Dvurechensky, P., Gasnikov, A., Takáč, M. Inexact tensor methods and their application to stochastic convex optimization (2024) Optimization Methods and Software, 39 (1), pp. 42-83. Scopus DOI Q1

Sergey Stanko, Timur Karimullin, Aleksandr Beznosikov, Alexander Gasnikov. Accelerated Methods with Compression for Horizontal and Vertical Federated Learning (2024) Q1

Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander Gasnikov, Martin Takáč, Dmitry Kamzolov. AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size (2024) Q1

Metelev, D., Rogozin, A., Gasnikov, A., Kovalev, D. Decentralized saddle-point problems with different constants of strong convexity and strong concavity (2024) Computational Management Science, 21 (1), статья № 5. Scopus DOI Q2

Solodkin, V., Chezhegov, S., Nazikov, R., Beznosikov, A., Gasnikov, A. Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks (2024) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14766 LNCS, pp. 69-86. Scopus DOI Q2

Nguyen, N.T., Rogozin, A., Metelev, D., Gasnikov, A. Min-Max Optimization over Slowly Time-Varying Graphs (2024) Doklady Mathematics, 108 (Suppl 2), pp. S300-S309. Scopus DOI Q2

A. Gasnikov, V. Temlyakov. Some lower bounds for optimal sampling recovery of functions with mixed smoothness (2024) Q2

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) Q2

Andrey Sadchikov, Savelii Chezhegov, Aleksandr Beznosikov, Alexander Gasnikov. Local SGD for near-quadratic problems: Improving convergence under unconstrained noise conditions (2024) Q2

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 Q2

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 Q2

Roman Emelyanov, Andrey Tikhomirov, Aleksandr Beznosikov, Alexander Gasnikov. Extragradient Sliding for Composite Non-monotone Variational Inequalities (2024) International Conference on Optimization and Applications Q2

A. Gasnikov, V. Temlyakov. On greedy approximation in complex Banach spaces (2024) Q2

Savelii Chezhegov, Sergey Skorik, Nikolas Khachaturov, Danil Shalagin, Aram Avetisyan, Martin Takáč, Yaroslav Kholodov, Aleksandr Beznosikov. Local methods with adaptivity via scaling (2024) Q2

Meruza Kubentayeva, Demyan Yarmoshik, Mikhail Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov. Primal-Dual Gradient Methods for Searching Network Equilibria in Combined Models with Nested Choice Structure and Capacity Constraints (2024) Scopus DOI Q3

Krivchenko, V.O., Gasnikov, A.V., Kovalev, D.A. Convex-Concave Interpolation and Application of PEP to the Bilinear-Coupled Saddle Point Problem (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 875-893. Scopus DOI Q3

Akindinov, G.D., Gasnikov, A.V., Krivorotko, O.I., Matyukhin, V.V., Pletnev, N.V. Gradient-type Approaches to Inverse and Ill-Posed Problems of Mathematical Physics (2024) Computational Mathematics and Mathematical Physics, 64 (9), pp. 1974-1990. Scopus DOI Q3

Dorn, Y., Kornilov, N., Kutuzov, N., Nazin, A., Gorbunov, E., Gasnikov, A. Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits (2024) Computational Management Science, 21 (1), статья № 19. Scopus DOI Q3

Pirau, V., Beznosikov, A., Takáč, M., Matyukhin, V., Gasnikov, A. Preconditioning meets biased compression for efficient distributed optimization (2024) Computational Management Science, 21 (1), статья № 14. Scopus DOI Q3

Yufereva, O., Persiianov, M., Dvurechensky, P., Gasnikov, A., Kovalev, D. Decentralized convex optimization on time-varying networks with application to Wasserstein barycenters (2024) Computational Management Science, 21 (1), статья № 12. Scopus DOI Q3

Metelev, D., Beznosikov, A., Rogozin, A., Gasnikov, A., Proskurnikov, A. Decentralized optimization over slowly time-varying graphs: algorithms and lower bounds (2024) Computational Management Science, 21 (1), статья № 8. Scopus DOI Q3

Ablaev, S.S., Beznosikov, A.N., Gasnikov, A.V., Dvinskikh, D.M., Lobanov, A.V., Puchinin, S.M., Stonyakin, F.S. On Some Works of Boris Teodorovich Polyak on the Convergence of Gradient Methods and Their Development (2024) Computational Mathematics and Mathematical Physics, 64 (4), pp. 635-675. Scopus DOI Q3

Gasnikov, A.V., Lobanov, A.V., Stonyakin, F.S. Highly Smooth Zeroth-Order Methods for Solving Optimization Problems under the PL Condition (2024) Computational Mathematics and Mathematical Physics, 64 (4), pp. 739-770. Scopus DOI Q3

Nguyen, N.T., Rogozin, A.V., Gasnikov, A.V. Average-Case Optimization Analysis for Distributed Consensus Algorithms on Regular Graphs (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 907-931. Scopus DOI Q3

Smirnov, V.N., Kazistova, K.M., Sudakov, I.A., Leplat, V., Gasnikov, A.V., Lobanov, A.V. Asymptotic Analysis of the Ruppert – Polyak Averaging for Stochastic Order Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 961-978. Scopus DOI Q3

Gasnikov, A.V., Alkousa, M.S., Lobanov, A.V., Dorn, Y.V., Stonyakin, F.S., Kuruzov, I.A., Singh, S.R. On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 813-825. Scopus DOI Q3

Georgii Bychkov, Darina Dvinskikh, Anastasia Antsiferova, Alexander Gasnikov, Aleksandr Lobanov. Accelerated zero-order SGD under high-order smoothness and overparameterized regime (2024) Q3

Savchuk, O., Puchinin, S., Stonyakin, F., Alkousa, M., Gasnikov, A. Numerical Methods for Variational Inequalities and Saddle Point Problems with Relative Inexact Information (2024) Communications in Computer and Information Science, 2239 CCIS, pp. 19-45. Scopus DOI Q4

Yudin, N.E., Gasnikov, A.V. Regularization and acceleration of Gauss - Newton method [Регуляризация и ускорение метода Гаусса - Ньютона] (2024) Computer Research and Modeling, 16 (7), pp. 1829-1840. Scopus DOI Q4

Aleksandr Lobanov, Alexander Gasnikov, Eduard Gorbunov, Martin Takáč. Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under (L_0,L_1)-Smoothness (2025) 

V.N. Smirnov, K.M. Kazistova, I.A. Sudakov, V. Leplat, A.V. Gasnikov, A.V. Lobanov. Ruppert-Polyak averaging for Stochastic Order Oracle (2024)

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)