The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

This addresses a foundational theoretical issue in machine learning, but it appears incremental as it offers a new proof rather than a novel method or breakthrough.

The paper tackles the problem of proving the convergence of Stochastic Gradient Descent (SGD) by providing a self-contained proof, but no specific results or numbers are mentioned.