Stochastic gradient descent is shown to regularize nonlinear ill-posed problems with a priori stopping and to achieve convergence rates under tangential cone, sourcewise, and range invariance conditions.
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On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems
Stochastic gradient descent is shown to regularize nonlinear ill-posed problems with a priori stopping and to achieve convergence rates under tangential cone, sourcewise, and range invariance conditions.