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Jaesung R. Park

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#machine learning Preprint Oct 2026

Acceleration and its Limits in Gaussian Variational Inference

We study whether the classical momentum-based acceleration that improves the condition-number dependence of gradient descent from $\kappa$ to $\sqrt{\kappa}$ for strongly convex, smooth objectives extends to Gaussian variational inference (GVI) for strongly log-concave, log-smooth target distributions. With exact Gauss...

Jaesung R. Park, Uijeong Jang, Yi-Fan Chen · 0 citations