Qiaochu Xu

Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes

Multi-output Gaussian processes (MOGPs) provide a Bayesian framework for modeling non-linear functions with multiple outputs, in which nonstationary kernels are essential for capturing input-dependent variations in observations. However, from a spectral (dual) perspective, existing nonstationary ker…