Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
Paper applies amortized structured stochastic variational inference to Gaussian Process Latent Variable Models, letting latent posteriors depend on inducing points and improving manifold reconstruction metrics.
