Tighter sparse variationa
Tighter sparse variational Gaussian processes
Tighter sparse variational Gaussian processes
arXiv:2502.04750v1 Announce Type: cross
Abstract: Sparse variational Gaussian process (GP) approximations based on inducing points have become the de facto standard for scaling GPs to large datasets, owing to their theoretical elegance, computational efficiency, and ease of implementation. This pap…
