8 citations to https://www.mathnet.ru/rus/sjvm667
  1. Eduard Gorbunov, Pavel Dvurechensky, Alexander Gasnikov, “An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization”, SIAM J. Optim., 32:2 (2022), 1210  crossref
  2. Ivanova A., Dvurechensky P., Gasnikov A., Kamzolov D., “Composite Optimization For the Resource Allocation Problem”, Optim. Method Softw., 36:4 (2021), 720–754  crossref  isi  scopus
  3. D. Dvinskikh, A. Gasnikov, “Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems”, J. Inverse Ill-Posed Probl., 29:3 (2021), 385–405  crossref  mathscinet  isi  scopus
  4. P. Dvurechensky, E. Gorbunov, A. Gasnikov, “An accelerated directional derivative method for smooth stochastic convex optimization”, Eur. J. Oper. Res., 290:2 (2021), 601–621  crossref  mathscinet  isi  scopus
  5. Alexander Rogozin, Mikhail Bochko, Pavel Dvurechensky, Alexander Gasnikov, Vladislav Lukoshkin, 2021 60th IEEE Conference on Decision and Control (CDC), 2021, 3367  crossref
  6. Artem Agafonov, Pavel Dvurechensky, Gesualdo Scutari, Alexander Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand, 2021 60th IEEE Conference on Decision and Control (CDC), 2021, 2407  crossref
  7. Darina Dvinskikh, Aleksandr Ogaltsov, Alexander Gasnikov, Pavel Dvurechensky, Vladimir Spokoiny, “On the line-search gradient methods for stochastic optimization”, IFAC-PapersOnLine, 53:2 (2020), 1715  crossref
  8. Darina Dvinskikh, Eduard Gorbunov, Alexander Gasnikov, Pavel Dvurechensky, Cesar A. Uribe, 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, 7435  crossref