Qi-Nian Jin

On convergence rates of stochastic gradient descent for linear inverse problems

Stochastic gradient methods have gained increasing attention for solving large-scale inverse problems due to their computational efficiency. However, their theoretical justification in the context of ill-posed problems remains underdeveloped, particularly regarding convergence rate analysis, where existing results...