Scalable Bayesian inference for heat kernel Gaussian processes on manifolds

Junhui He, Guoxuan Ma, Jian Kang +1

We establish a scalable manifold learning method and theory, motivated by the problem of estimating fMRI activation manifolds in the Human Connectome Project (HCP). Our primary con…