Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models

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.