AINeutralarXiv – CS AI · 3h ago6/10
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Learning Theory of the SVRG: Generalization and Convergence Analysis
Researchers present the first generalization analysis of Stochastic Variance Reduced Gradient (SVRG), a widely-used optimization method in machine learning, using algorithmic stability theory. The work bridges a gap in theoretical understanding by establishing sharp stability bounds for both convex and strongly convex settings, with implications for understanding how variance reduction techniques achieve optimal population risk bounds.