Acceleration and its Limits in Gaussian Variational Inference
arXiv:2610.21020v1 Announce Type: new Abstract: 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 st…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-16 04:00 · arXiv stat.ML
Acceleration and its Limits in Gaussian Variational Inference