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Acceleration of stochastic approximation by averaging

Boris Polyak,A. Juditsky

1992 · DOI: 10.1137/0330046
2,100 Citations

TLDR

Convergence with probability one is proved for a variety of classical optimization and identification problems and it is demonstrated for these problems that the proposed algorithm achieves the highest possible rate of convergence.

Abstract

A new recursive algorithm of stochastic approximation type with the averaging of trajectories is investigated. Convergence with probability one is proved for a variety of classical optimization and identification problems. It is also demonstrated for these problems that the proposed algorithm achieves the highest possible rate of convergence.