English

A frequency-domain analysis of inexact gradient methods

Optimization and Control 2021-05-11 v2 Machine Learning Numerical Analysis Systems and Control Systems and Control Numerical Analysis

Abstract

We study robustness properties of some iterative gradient-based methods for strongly convex functions, as well as for the larger class of functions with sector-bounded gradients, under a relative error model. Proofs of the corresponding convergence rates are based on frequency-domain criteria for the stability of nonlinear systems. Applications are given to inexact versions of gradient descent and the Triple Momentum Method. To further emphasize the usefulness of frequency-domain methods, we derive improved analytic bounds for the convergence rate of Nesterov's accelerated method (in the exact setting) on strongly convex functions.

Keywords

Cite

@article{arxiv.1912.13494,
  title  = {A frequency-domain analysis of inexact gradient methods},
  author = {Oran Gannot},
  journal= {arXiv preprint arXiv:1912.13494},
  year   = {2021}
}

Comments

42 pages; corrections and additional applications to accelerated methods. To appear in Mathematical Programming

R2 v1 2026-06-23T13:00:13.524Z