By Topic

Law of the iterated logarithm for a constant-gain linear stochastic gradient algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Joslin, J.A. ; Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada ; Heunis, Andrew J.

We characterize the finite-horizon limiting properties of a constant-gain linear stochastic gradient algorithm, as the adaptation gain tends to zero, in the form of a functional law of the iterated logarithm

Published in:

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on  (Volume:5 )

Date of Conference:

2001