English

Dissipativity Theory for Nesterov's Accelerated Method

Optimization and Control 2017-06-15 v1

Abstract

In this paper, we adapt the control theoretic concept of dissipativity theory to provide a natural understanding of Nesterov's accelerated method. Our theory ties rigorous convergence rate analysis to the physically intuitive notion of energy dissipation. Moreover, dissipativity allows one to efficiently construct Lyapunov functions (either numerically or analytically) by solving a small semidefinite program. Using novel supply rate functions, we show how to recover known rate bounds for Nesterov's method and we generalize the approach to certify both linear and sublinear rates in a variety of settings. Finally, we link the continuous-time version of dissipativity to recent works on algorithm analysis that use discretizations of ordinary differential equations.

Keywords

Cite

@article{arxiv.1706.04381,
  title  = {Dissipativity Theory for Nesterov's Accelerated Method},
  author = {Bin Hu and Laurent Lessard},
  journal= {arXiv preprint arXiv:1706.04381},
  year   = {2017}
}

Comments

to appear in the International Conference on Machine Learning 2017

R2 v1 2026-06-22T20:18:23.568Z