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20152026
most citedExact Worst-case Performance of First-order Methods for Composite Convex Optimization

109 citations · 280 across the 31 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

math.OC2017

Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation

Etienne de Klerk, Francois Glineur, Adrien Taylor

We provide new tools for worst-case performance analysis of the gradient (or steepest descent) method of Cauchy for smooth strongly convex functions, and Newton's method for self-c…

math.OC2017★ 2 cited

Exact worst-case convergence rates of the proximal gradient method for composite convex minimization

Adrien B. Taylor, Julien M. Hendrickx, François Glineur

We study the worst-case convergence rates of the proximal gradient method for minimizing the sum of a smooth strongly convex function and a non-smooth convex function whose proxima…