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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
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
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