Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation
Abstract
We prove a convergence theorem for stochastic gradient descents on manifolds with adaptive learning rate and apply it to the weighted low-rank approximation problem.
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