Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes

Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh +3

We present a Bayesian approach to identify optimal transformations that map model input points to low dimensional latent variables. The "projection" mapping consists of an orthonor…