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Gaussian Limits for SGD Without Stationary Moments

Li, Xiaoli et al.
arXiv (All) · Papers
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machine-learning
Temporal dependence can separate the Gaussian approximation of stochastic gradient descent from its stationary moments. For unmodified least-squares SGD, we construct a design with standard Gaussian marginals whose stationary error has every positive moment infinite. Independent observations with th
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