Калиниченко Виктория Константиновна · Publications

Ablaev, S.S., Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A. Some Adaptive First-Order Methods for Variational Inequalities with Relatively Strongly Monotone Operators and Generalized Smoothness (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13781 LNCS, pp. 135-150. Scopus WOS DOI Q2

Beznosikov, A., Gasnikov, A. Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13781 LNCS, pp. 151-162. Scopus WOS DOI Q2

Rogozin, A., Yarmoshik, D., Kopylova, K., Gasnikov, A. Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches (2022) Communications in Computer and Information Science, 1739 CCIS, pp. 93-105. Scopus WOS DOI Q4

Maslovskiy, A., Kunitsyn, A., Gasnikov, A. Application of Attention Technique for Digital Pre-distortion (2022) Communications in Computer and Information Science, 1739 CCIS, pp. 168-182. Scopus WOS DOI Q4

Pletnev, N.V., Dvurechensky, P.E., Gasnikov, A.V. Application of gradient optimization methods to solve the Cauchy problem for the Helmholtz equation [Применение градиентных методов оптимизации для решения задачи Коши для уравнения Гельмгольца] (2022) Computer Research and Modeling, 14 (2), pp. 417-444. Scopus WOS DOI Q4

Kovalev, D., Gasanov, E., Gasnikov, A., Richtárik, P. Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks (2021) Advances in Neural Information Processing Systems, 27, pp. 22325-22335. Scopus WOS DOI A*

Kovalev, D., Shulgin, E., Richtárik, P., Rogozin, A., Gasnikov, A. ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks (2021) Proceedings of Machine Learning Research, 139, pp. 5784-5793. Scopus WOS DOI A*

Daneshmand, A., Scutari, G., Dvurechensky, P., Gasnikov, A. Newton Method over Networks is Fast up to the Statistical Precision (2021) Proceedings of Machine Learning Research, 139, pp. 2398-2409. Scopus WOS DOI A*

Dvurechensky, P., Gorbunov, E., Gasnikov, A. An accelerated directional derivative method for smooth stochastic convex optimization (2021) European Journal of Operational Research, 290 (2), pp. 601-621. Scopus DOI Q1

Stonyakin, F., Tyurin, A., Gasnikov, A., Dvurechensky, P., Agafonov, A., Dvinskikh, D., Alkousa, M., Pasechnyuk, D., Artamonov, S., Piskunova, V. Inexact model: a framework for optimization and variational inequalities (2021) Optimization Methods and Software, 36 (6), pp. 1155-1201. Scopus DOI Q1

Uribe, C.A., Lee, S., Gasnikov, A., Nedić, A. A dual approach for optimal algorithms in distributed optimization over networks (2021) Optimization Methods and Software, 36 (1), pp. 171-210. Scopus WOS DOI Q1

Nesterov, Y., Gasnikov, A., Guminov, S., Dvurechensky, P. Primal–dual accelerated gradient methods with small-dimensional relaxation oracle (2021) Optimization Methods and Software, 36 (4), pp. 773-810. Scopus WOS DOI Q1

Ivanova, A., Dvurechensky, P., Gasnikov, A., Kamzolov, D. Composite optimization for the resource allocation problem (2021) Optimization Methods and Software, 36 (4), pp. 720-754. Scopus DOI Q1

Kamzolov, D., Dvurechensky, P., Gasnikov, A.V. Universal intermediate gradient method for convex problems with inexact oracle (2021) Optimization Methods and Software, 36 (6), pp. 1289-1316. Scopus DOI Q1

Kubentayeva, M., Gasnikov, A. Finding equilibria in the traffic assignment problem with primal-dual gradient methods for stable dynamics model and beckmann model (2021) Mathematics, 9 (11), статья № 1217. Scopus WOS DOI Q2