pith:KZUAJWTP
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.
arxiv:2605.18134 v1 · 2026-05-18 · stat.CO · stat.ME
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\pithnumber{KZUAJWTPCZYYTJIN3HCTVXFHYR}
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Record completeness
Claims
We construct an explicit, n-dependent sampling distribution that achieves minimax rates for worst-case error over smoothness classes without requiring knowledge of the kernel.
The existence and explicit constructibility of an n-dependent sampling distribution whose worst-case error matches the minimax rate over the smoothness class, independent of the kernel, for the chosen unbounded measures (Gaussian, Student-t).
Constructs an n-dependent kernel-agnostic sampling distribution achieving minimax worst-case error rates for quadrature over smoothness classes on unbounded domains.
Receipt and verification
| First computed | 2026-05-20T00:05:17.731213Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
566804da6f167189a50dd9c53adca7c448fa3581c76c0bcf6f6226e46b4aca65
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZUAJWTPCZYYTJIN3HCTVXFHYR \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 566804da6f167189a50dd9c53adca7c448fa3581c76c0bcf6f6226e46b4aca65
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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