Convergence theorems are established for Riemannian SGD with iteration-varying probability spaces, applying to varying batch sizes and unbiased batch forming schemes.
Shah,Improving the convergence of SGD through adaptive batch sizes
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Convergence of Riemannian Stochastic Gradient Descents: Varying Batch Sizes And Nonstandard Batch Forming
Convergence theorems are established for Riemannian SGD with iteration-varying probability spaces, applying to varying batch sizes and unbiased batch forming schemes.