Constructs an n-dependent kernel-agnostic sampling distribution achieving minimax worst-case error rates for quadrature over smoothness classes on unbounded domains.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.CO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Optimal Sampling for Kernel Quadrature on Unbounded Domains
Constructs an n-dependent kernel-agnostic sampling distribution achieving minimax worst-case error rates for quadrature over smoothness classes on unbounded domains.