An optimal variant of Kelley's cutting-plane method
Yoel Drori, Marc Teboulle

TL;DR
This paper introduces a new variant of Kelley's cutting-plane method that achieves the optimal convergence rate for minimizing nonsmooth convex Lipschitz functions, enhancing efficiency in convex optimization.
Contribution
The paper presents a novel, constructively derived variant of Kelley's method with proven optimal convergence rates for nonsmooth convex optimization.
Findings
Achieves optimal convergence rate for nonsmooth convex functions
Constructively derived variant of Kelley's method
Proven theoretical efficiency improvements
Abstract
We propose a new variant of Kelley's cutting-plane method for minimizing a nonsmooth convex Lipschitz-continuous function over the Euclidean space. We derive the method through a constructive approach and prove that it attains the optimal rate of convergence for this class of problems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Optimization Algorithms Research · Optimization and Variational Analysis · Iterative Methods for Nonlinear Equations
