Oracle Complexity Separation in Convex Optimization

Author:

Ivanova Anastasiya,Dvurechensky Pavel,Vorontsova EvgeniyaORCID,Pasechnyuk Dmitry,Gasnikov Alexander,Dvinskikh Darina,Tyurin Alexander

Funder

Ivannikov Institute for System Programming of the Russian Academy of Sciences

Grant for research centers in the field of artificial intelligence, provided by the Analytical Center for the Government of the Russian Federation in accordance with the subsidy agreement

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Reference52 articles.

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2. Alkousa, M., Gasnikov, A., Dvurechensky, P., Sadiev, A., Razouk, L.: An Approach for Non-convex Uniformly Concave Structured Saddle Point Problem. arXiv:2202.06376 (2022)

3. Allen-Zhu, Z.: Katyusha: the first direct acceleration of stochastic gradient methods. J. Mach. Learn. Res. 18(221), 1–51 (2018)

4. Allen-Zhu, Z., Qu, Z., Richtárik, P., Yuan, Y.: Even faster accelerated coordinate descent using non-uniform sampling. In: Balcan, M.F., Weinberger, K.Q. (eds.) Proceedings of The 33rd International Conference on Machine Learning, Proceedings of Machine Learning Research, vol. 48, pp. 1110–1119. JMLR, Inc. and Microtome Publishing, New York. http://proceedings.mlr.press/v48/allen-zhuc16.html (2016)

5. Beznosikov, A., Gorbunov, E., Gasnikov, A.: Derivative-free method for composite optimization with applications to decentralized distributed optimization. IFAC-PapersOnLine 53(2), 4038–4043 (2020)

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