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An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization., , and . SIAM J. Optim., 32 (2): 1210-1238 (2022)A universal modification of the linear coupling method., , , and . Optim. Methods Softw., 34 (3): 560-577 (2019)Decentralized saddle-point problems with different constants of strong convexity and strong concavity., , , and . Comput. Manag. Sci., 21 (1): 5 (June 2024)Randomized Similar Triangles Method: A Unifying Framework for Accelerated Randomized Optimization Methods (Coordinate Descent, Directional Search, Derivative-Free Method)., , and . CoRR, (2017)High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise., , , , , , , and . CoRR, (2023)Distributed Saddle-Point Problems Under Data Similarity., , , and . NeurIPS, page 8172-8184. (2021)A Damped Newton Method Achieves Global $O łeft(1k^2\right)$ and Local Quadratic Convergence Rate., , , , , and . NeurIPS, (2022)Penalty-Based Method for Decentralized Optimization over Time-Varying Graphs., and . OPTIMA, volume 12422 of Lecture Notes in Computer Science, page 239-256. Springer, (2020)Optimal Flow Matching: Learning Straight Trajectories in Just One Step., , and . CoRR, (2024)Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 856-864. PMLR, (2024)