Гасников Александр Владимирович

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

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

Alyona Nekrasova, Makar Sidorov, Savelii Chezhegov, Alexander Gasnikov, Margarita Preobrazhenskaia, Igor Preobrazhensky, Eduard Gorbunov. Weak-L^α Noise, Strong Guarantees: Gradient Clipping under Affine Heavy Tails (2026). arXiv preprint arXiv:2610.28107.

Darina M. Dvinskikh, Anton G. Novitskii, Ewsey R. Obzherin, Alexander V. Gasnikov. TIGER: Tunable-Geometry Accelerated Gradient Sliding with Adaptive Safeguards under Similarity (2026). arXiv preprint arXiv:2610.25504.

Artem Vasin, Alexander Tyurin, Alexander Gasnikov. Adaptive First-Order Methods with Composite Gradient Error (2026). arXiv preprint arXiv:2610.24863.

Mikhail Rudomanov, Ivan Fomin, Alexander V. Gasnikov, Fedor S. Stonyakin. Descending Everest with First-Order Oracles: Oracle Complexity of Convex Optimization under (L_0,L_1)-Smoothness (2026). arXiv preprint arXiv:2610.21461.

Yuriy Dorn, Dmitrii Vishovan, Kirill Novoselov, Ilya Kuruzov, Darina Dvinskikh, Alexander Gasnikov. Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning (2026). arXiv preprint arXiv:2610.15543.

Yuriy Dorn, Osman Osmanov, Timofei Loginov, Nazarii Tupitsa, Darina Dvinskikh, Alexander Gasnikov. Adaptive two-points zero-order accelerated methods for stochastic convex optimization problems (2026). arXiv preprint arXiv:2610.15202.

Nhat Trung Nguyen, Ivan Dorofeev, Irina Podlipnova, Yuriy Dorn, Alexander Gasnikov. Complexity of Multiblock Convex-Concave Saddle-Point Problems with General Smooth Coupling (2026). arXiv preprint arXiv:2610.12656.

Kirill Novoselov, Yuriy Dorn, Darina Dvinskikh, Alexander Gasnikov. Optimal Rates for Federated Variational Inequalities under different relaxations of bounded variance assumption (2026). arXiv preprint arXiv:2610.12641.

Artem Agafonov, Aslan Ashabokov, Dmitry Kamzolov, Alexander D'yakonov, Alexander Gasnikov, Martin Takáč. Matching the Lower Bounds: Stochastic Contracting Cubic Newton and Its Optimal Acceleration (2026). arXiv preprint arXiv:2610.11693.

Timofei Loginov, Darina Dvinskikh, Nazarii Tupitsa, Osman Osmanov, Yuriy Dorn, Alexander Gasnikov. Minimax Oracle Call Complexity, Rounds and Admissible Noise in Zeroth-Order Optimization of Highly Smooth Functions (2026). arXiv preprint arXiv:2610.05517.

Ilya Kuruzov, Dmitrii Vishovan, Kirill Novoselov, Yuriy Dorn, Darina Dvinskikh, Alexander Gasnikov. Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning (2026). arXiv preprint arXiv:2610.04671.

Yuriy Dorn, Darina Dvinskikh, Timofei Loginov, Osman Osmanov, Aleksandr Shestakov, Nazarii Tupitsa, Alexander Gasnikov. Lower Bounds For Gradient-Free Convex Optimization And Convex-Concave Saddle-Point Problems (2026). arXiv preprint arXiv:2610.00345.

Anton Anikin, Alexander Gornov, Tatiana Zarodnyuk, Alexander Gasnikov. Greedy sign-based box splitting: exact solvable classes, sharp thresholds and order-oracle complexity (2026). arXiv preprint arXiv:2609.37444.

Darina Dvinskikh, Anton Novitskii, Demyan Yarmoshik, Alexander Rogozin, Vladislav Matyukhin, Alexander Gasnikov. Accelerated Consensus and Decentralized Optimization over Slowly Varying Networks (2026). arXiv preprint arXiv:2609.33824.

Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov. Accelerated Stochastic Method under (H_0,H_1)-Smoothness and Heavy-Tailed Noise (2026). arXiv preprint arXiv:2609.33415.

Ewsey Obzherin, Ilya Khomchenko, Natalia Shelegeda, Nhat Trung Nguyen, Demyan Yarmoshik, Alexander Rogozin, Alexander Gasnikov. Decentralized Optimization with Cross-Coupled Mixed Affine Constraints (2026). arXiv preprint arXiv:2609.33021.

Artem Agafonov, Aslan Ashabokov, Alexander D'yakonov, Martin Takáč, Alexander Gasnikov, Dmitry Kamzolov. Optimal Parameter-Free Second-order Acceleration with Inexact Hessians under Generalized Smoothness (2026). arXiv preprint arXiv:2609.32977.

Alexandra Suvorikova, Egor Gladin, Darina Dvinskikh, Artem Agafonov, Mohammad Alkousa, Yuriy Dorn, Vladislav Matyukhin, Alexander Gasnikov. Clipped or Unclipped? Finite-Sample Trade-offs for Averaged SGD under Heavy-Tailed Noise (2026). arXiv preprint arXiv:2609.32962.

Timofei Loginov, Alexander Gasnikov, Yuriy Dorn, Aleksandr Shestakov, Nazarii Tupitsa, Osman Osmanov, Darina Dvinskikh. The Complexity of Convex Optimization with Mismatched Geometry (2026). arXiv preprint arXiv:2609.32910.

Irina Podlipnova, Maxim Mashtaler, Artem Agafonov, Yuriy Dorn, Alexander Gasnikov. Smooth or Separable? Sparse Block Acceleration for Entropy-Regularized Linear Programs (2026). arXiv preprint arXiv:2609.32558.

Ivan Fomin, Alexander V. Gasnikov. Saddle-Point Problems with a Low-Dimensional Block Do Not Need Accurate Inner Solves (2026). arXiv preprint arXiv:2609.32441.

Ewsey R. Obzherin, Roman M. Mozhaev, Alexander V. Gasnikov, Martin Takáč, Artem A. Agafonov, Dmitry I. Kamzolov. Certified Residual Quasi-Newton Methods for Distributed Variational Inequalities (2026). arXiv preprint arXiv:2609.22481.

Yury A. Sokolov, Maxim K. Mashtaler, Alexander V. Gasnikov, Martin Takáč, Dmitry I. Kamzolov, Artem D. Agafonov. Application of Optimal Inexact Second-Order Acceleration to Distributed Stochastic Optimization under Statistical Similarity (2026). arXiv preprint arXiv:2609.21878.

Darina Dvinskikh, Alexander Gasnikov, Aleksandr Lobanov, Ilgam Latypov. Localize, Restart, Accelerate: Stochastic Optimization under Generalized Smoothness (2026). arXiv preprint arXiv:2609.06555.

Nhat Trung Nguyen, Alexander Gasnikov. Sliding Methods for Hölder-Smooth Convex--Concave Minimax Optimization with Bilinear Coupling (2026). arXiv preprint arXiv:2608.03846.

Alexandra Suvorikova, Igor Pavlov, Artem Vasin, Georgii Bychkov, Anastasia Antsiferova, Darina Dvinskikh, Alexander Gasnikov. Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity (2026). arXiv preprint arXiv:2605.31346.

Arutyun Avetisyan, Darina Dvinskikh, Alexander Gasnikov, Vladimir Temlyakov, Nazarii Tupitsa, Denis Turdakov. Stochastic Optimization and Data Science (2026). arXiv preprint arXiv:2605.16875.

Stepan Kulibaba, Kirill Labzin, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander Gasnikov, Aleksei Shpilman. SDG-MoE: Signed Debate Graph Mixture-of-Experts (2026). arXiv preprint arXiv:2605.08322.

Valery Krivchenko, Alexander Gasnikov, Dmitry Kovalev. Stronger constraints for smooth min-max games (2026). arXiv preprint arXiv:2603.17053.

Vadim Abronin, Alexander Gasnikov, Darina Dvinskikh. Gradient-Free Methods for Stochastic Convex Optimization with Stochastic Functional Constraints (2026). arXiv preprint arXiv:2609.35946.

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*

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*

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