pith:NU3GWIO7
Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
A linear dueling bandit algorithm achieves regret that adds the separate costs of delays and corruptions rather than multiplying them together.
arxiv:2605.01752 v2 · 2026-05-03 · cs.LG
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\pithnumber{NU3GWIO7NA5LCVEOX2NAYTWQTB}
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Record completeness
Claims
Under standard regularity conditions and a parametric post-serving mapping, we rigorously establish that our algorithm is delay-regime-agnostic, achieving a regret upper bound of O~(d(sqrt(T) + C + D)), ... our analysis reveals an additive cost structure between corruption and delay, avoiding the multiplicative degradation typical of prior works. We further establish lower bounds that nearly match our upper bounds up to a sqrt(d) factor for adversarial delays in the absence of post-serving contexts.
standard regularity conditions and a parametric post-serving mapping (assumed to enable the learned approximator for post-serving contexts)
The algorithm achieves a delay-regime-agnostic regret bound of O~(d(sqrt(T) + C + D)) with additive costs for corruption and delay under parametric post-serving context assumptions.
Receipt and verification
| First computed | 2026-05-20T00:05:45.793136Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6d366b21df683ab1548ebe9a0c4ed09876491163d43136670d66d9aab803fc59
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NU3GWIO7NA5LCVEOX2NAYTWQTB \
| 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: 6d366b21df683ab1548ebe9a0c4ed09876491163d43136670d66d9aab803fc59
Canonical record JSON
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