Convex-Concave Interpolation and Application of PEP to the Bilinear-Coupled Saddle Point Problem

    Received 31 October 2024; accepted 09 December 2024; published 28 December 2024

    2024, Vol. 20, no. 5, pp.  875-893

    Author(s): Krivchenko V. O., Gasnikov A. V., Kovalev D. A.

    In this paper we present interpolation conditions for several important convex-concave function classes: nonsmooth convex-concave functions, conditions for difference of strongly-convex functions in a form that contains oracle information exclusively and smooth convex-concave functions with a bilinear coupling term. Then we demonstrate how the performance estimation problem approach can be adapted to analyze the exact worst-case convergence behavior of firstorder methods applied to composite bilinear-coupled min-max problems. Using the performance estimation problem approach, we estimate iteration complexities for several first-order fixed-step methods, Sim-GDA and Alt-GDA, which are applied to smooth convex-concave functions with a bilinear coupling term.
    Keywords: saddle point, convex-concave functions, bilinear coupling, performance estimation problem, interpolation conditions
    Citation: Krivchenko V. O., Gasnikov A. V., Kovalev D. A., Convex-Concave Interpolation and Application of PEP to the Bilinear-Coupled Saddle Point Problem, Rus. J. Nonlin. Dyn., 2024, Vol. 20, no. 5, pp.  875-893
    DOI:10.20537/nd241215


    Download File
    PDF, 492.52 Kb




    Creative Commons License
    This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License