Публикации

Shibaev I., Dvurechensky P., Gasnikov A. Zeroth-order methods for noisy Hölder-gradient functions // Optimization Letters, Vol. 16, No. 7, P. 2123 - 2143 Scopus WOS DOI Q2

Tiapkin D., Gasnikov A., Dvurechensky P. Stochastic saddle-point optimization for the Wasserstein barycenter problem // Optimization Letters, Vol. 16, No. 7, P. 2145 - 2175 Scopus WOS DOI Q2

Sadiev A., Borodich E., Beznosikov A., Dvinskikh D., Chezhegov S., Tappenden R., Takáč M., Gasnikov A. Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes // EURO Journal on Computational Optimization, Vol. 10, P. 100041 Scopus WOS DOI Q2

Borodich E., Tominin V., Tominin Y., Kovalev D., Gasnikov A., Dvurechensky P. Accelerated variance-reduced methods for saddle-point problems // EURO Journal on Computational Optimization, Vol. 10, P. 100048 Scopus WOS DOI Q2

Gladin, E.L., Gasnikov, A.V., Ermakova, E.S. Vaidya’s Method for Convex Stochastic Optimization Problems in Small Dimension (2022) Mathematical Notes, 112 (1-2), pp. 183-190. Scopus WOS DOI Q2

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

Yarmoshik D., Rogozin A., Khamisov O.O., Dvurechensky P., Gasnikov A. Decentralized Convex Optimization Under Affine Constraints for Power Systems Control // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13367, P. 62 - 75 Scopus WOS DOI Q3

Dvinskikh D., Tominin V., Tominin I., Gasnikov A. Noisy Zeroth-Order Optimization for Non-smooth Saddle Point Problems // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13367, P. 18 - 33 Scopus WOS DOI Q3

Danilova M., Dvurechensky P., Gasnikov A., Gorbunov E., Guminov S., Kamzolov D., Shibaev I. Recent Theoretical Advances in Non-Convex Optimization // Springer Optimization and Its Applications, Vol. 191, P. 79 - 163 Scopus WOS DOI Q3

Chezhegov S., Novitskii A., Rogozin A., Parsegov S., Dvurechensky P., Gasnikov A. A General Framework for Distributed Partitioned Optimization // IFAC-PapersOnLine, Vol. 55, No. 13, P. 139 - 144 Scopus WOS DOI Q3

Dvinskikh D.M., Pirau V.V., Gasnikov A.V. On the relations of stochastic convex optimization problems with empirical risk minimization problems on p-norm balls // Computer Research and Modeling, Vol. 14, No. 2, P. 309 - 319 Scopus WOS DOI Q4

Alkousa M.S., Gasnikov A.V., Dvurechensky P.E., Sadiev A.A., Razouk L.Ya. An approach for the nonconvex uniformly concave structured saddle point problem // Computer Research and Modeling, Vol. 14, No. 2, P. 225 - 237 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 // Computer Research and Modeling, Vol. 14, No. 2, P. 417 - 444 Scopus WOS DOI Q4

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