On Basis Function Selection for Sparse Gaussian Process Regression
arXiv:2609.26624v2 Announce Type: new Abstract: Sparse Gaussian processes achieve $O(N)$ inference by replacing the kernel with an appropriate expansion in a fixed basis $\{\phi_j\}$ on the input space. Given a compute budget $M \ll N$, practitioners conventionally truncate the basis to its first $…
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- 2026-09-24 04:00 · arXiv stat.ML
On Basis Function Selection for Sparse Gaussian Process Regression