Publication
A note on a Lyapunov argument for stochastic gradient methods in the presence of noise
Abstract
The authors employ energy-based arguments to establish a robustness and a convergence result for a gradient-descent adaptive law in the presence of both noisy measurements and uncertainty in the initial guess.
Official source
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