John Paisley

Diffusion Bridge Variational Inference for Deep Gaussian Processes

2025 · arXiv (Cornell University)

Deep Gaussian processes (DGPs) enable expressive hierarchical Bayesian modeling but pose substantial challenges for posterior inference, especially over inducing variables. Denoising diffusion variational inference (DDVI) addresses this by modeling the posterior as a time-reversed diffusion …