WIAS Preprint List: Gasnikov, Alexander

• 2827: Sadiev, Abdurakhmon; Beznosikov, Aleksandr; Dvurechensky, Pavel; Gasnikov, Alexander
  Zeroth-order algorithms for smooth saddle-point problems
  Appeared in: Mathematical Optimization Theory and Operations Research: Recent Trends, A. Strekalovsky, Y. Kochetov, T. Gruzdeva, A. Orlov , eds., vol. 1476 of Communications in Computer and Information Science book series (CCIS), Springer International Publishing, Basel, 2021, pp. 71--85, DOI 10.1007/978-3-030-86433-0_5 .
• 2820: Ostroukhov, Petr; Kamalov, Rinat; Dvurechensky, Pavel; Gasnikov, Alexander
  Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities
  
• 2818: Agafonov, Artem; Kamzolov, Dmitry; Dvurechensky, Pavel; Gasnikov, Alexander
  Inexact tensor methods and their application to stochastic convex optimization
  
• 2815: Matyukhin, Vladislav; Kabanikhin, Sergey; Shishlenin, Maxim; Novikov, Nikita; Vasin, Artem; Gasnikov, Alexander
  Convex optimization with inexact gradients in Hilbert space and applications to elliptic inverse problems
  Appeared in: In: P. Pardalos, M. Khachay, A. Kazakov (eds.), Mathematical Optimization Theory and Operations Research. MOTOR 2021, vol. 12755 of Lecture Notes in Computer Science, Springer, Cham, pp. 159--175. https://doi.org/10.1007/978-3-030-77876-7_11
• 2813: Yudin, Nikita; Gasnikov, Alexander
  Flexible modification of Gauss--Newton method and its stochastic extension
  
• 2812: Vasin, Artem; Gasnikov, Alexander; Spokoiny, Vladimir
  Stopping rules for accelerated gradient methods with additive noise in gradient
  
• 2782: Krawchenko, Roman; Uribe, César A.; Gasnikov, Alexander; Dvurechensky, Pavel
  Distributed optimization with quantization for computing Wasserstein barycenters
  
• 2711: Ivanova, Anastasiya; Gasnikov, Alexander; Dvurechensky, Pavel; Dvinskikh, Darina; Tyurin, Alexander; Vorontsova, Evgeniya; Pasechnyuk, Dmitry
  Oracle complexity separation in convex optimization
  Appeared in: J. Optim. Theory Appl., 193 (2022), pp. 462--490, DOI 10.1007/s10957-022-02038-7 .
• 2710: Kamzolov, Dmitry; Gasnikov, Alexander; Dvurechensky, Pavel
  On the optimal combination of tensor optimization methods
  Appeared in: Optimization and Applications. OPTIMA 2020, N. Olenev, Y. Evtushenko, M. Khachay, V. Malkova, eds., vol. 12422 of Lecture Notes in Computer Science, Springer International Publishing, Cham, 2020, pp. 166--183, DOI 10.1007/978-3-030-62867-3_13 .
• 2709: Stonyakin, Fedor; Gasnikov, Alexander; Tyurin, Alexander; Pasechnyuk, Dmitry; Agafonov, Artem; Dvurechensky, Pavel; Dvinskikh, Darina; Artamonov, Sergei; Piskunova, Victorya
  Inexact relative smoothness and strong convexity for optimization and variational inequalities by inexact model
  
• 2695: Guminov, Sergey; Dvurechensky, Pavel; Gasnikov, Alexander
  On accelerated alternating minimization
  
• 2694: Dvurechensky, Pavel; Gasnikov, Alexander; Ostroukhov, Petr; Uribe, A. Cesar; Ivanova, Anastasiya
  Near-optimal tensor methods for minimizing gradient norm
  
• 2692: Tupitsa, Nazarii; Dvurechensky, Pavel; Gasnikov, Alexander; Guminov, Sergey
  Alternating minimization methods for strongly convex optimization
  Appeared in: J. Inverse Ill-Posed Probl., 29 (2021), pp. 721--739, DOI 10.1515/jiip-2020-0074 .
• 2691: Gorbunov, Eduard; Dvinskikh, Darina; Gasnikov, Alexander
  Optimal decentralized distributed algorithms for stochastic convex optimization
  
• 2690: Dvinskikh, Darina; Gorbunov, Eduard; Gasnikov, Alexander; Dvurechensky, Alexander; Uribe, César A.
  On primal and dual approaches for distributed stochastic convex optimization over networks
  Appeared in: 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE Xplore, 2019, pp. 7435--7440, DOI 10.1109/CDC40024.2019.9029798 .
• 2688: Stonyakin, Fedor; Dvinskikh, Darina; Dvurechensky, Pavel; Kroshnin, Alexey; Kuznetsova, Olesya; Agafonov, Artem; Gasnikov, Alexander; Tyurin, Alexander; Uribe, Cesar A.; Pasechnyuk, Dmitry; Artamonov, Sergei
  Gradient methods for problems with inexact model of the objective
  Appeared in: Proceedings of the 18th International Conference on Mathematical Optimization Theory and Operations Research (MOTOR 2019), M. Khachay, Y. Kochetov, P. Pardalos, eds., vol. 11548 of Lecture Notes in Computer Science, Springer Nature Switzerland AG 2019, Cham, Switzerland, 2019, pp. 97--114, DOI 10.1007/978-3-030-22629-9_8 .
• 2679: Stonyakin, Fedor; Gasnikov, Alexander; Tyurin, Alexander; Pasechnyuk, Dmitry; Agafonov, Artem; Dvurechensky, Pavel; Dvinskikh, Darina; Piskunova, Victorya
  Inexact model: A framework for optimization and variational inequalities
  Appeared in: Optim. Methods Softw., published online in July 2021, DOI 10.1080/10556788.2021.1924714 .
• 2676: Dvurechensky, Pavel; Gasnikov, Alexander; Nurminski, Evgeni; Stonyakin, Fedor
  Advances in low-memory subgradient optimization
  Appeared in: Numerical Nonsmooth Optimization, A.M. Bagirov, M. Gaudioso, N. Karmitsa, M.M. Mäkelä, S. Taheri, eds., Springer International Publishing, Cham, 2020, pp. 19--59, DOI 10.1007/978-3-030-34910-3_2 .
• 2665: Kroshnin, Alexey; Dvinskikh, Darina; Dvurechensky, Pavel; Gasnikov, Alexander; Tupitsa, Nazarii; Uribe, César A.
  On the complexity of approximating Wasserstein barycenter
  Appeared in: International Conference on Machine Learning, 9--15 June 2019, Long Beach, California, USA, vol. 97 of Proceedings of Machine Learning Research, 2019, pp. 3530--3540.
• 2655: Ogaltsov, Aleksandr; Dvinskikh, Darina; Dvurechensky, Pavel; Gasnikov, Alexander; Spokoiny, Vladimir
  Adaptive gradient descent for convex and non-convex stochastic optimization
  Appeared in: Proceedings of the 21th IFAC World Congress, R. Findeisen, S. Hirche, K. Janschek, M. Mönnigmann, eds., vol. 53 of IFAC PapersOnLine, Elsevier, 2020, pp. 1715--1720, DOI 10.1016/j.ifacol.2020.12.2284 .