Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
arXiv:2610.03647v1 Announce Type: new Abstract: Many machine learning methods aim to approximate the lower-dimensional manifold on which the data lives. A desirable feature of such methods is that they should capture the epistemic uncertainty of this learned manifold. One model that achieves this i…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-05 04:00 · arXiv stat.ML
Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models