pith:VWHAPZQE
Polyhedral Instability Governs Regret in Online Learning
Regret in online learning over combinatorial actions scales with the square root of the number of polyhedral region switches.
arxiv:2605.13692 v1 · 2026-05-13 · cs.LG · cs.CC
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Record completeness
Claims
Under full information feedback and fixed partition assumptions, Regret_T = Θ(√((1+RS_T) T log V_max)) where RS_T is the number of region switches and V_max the maximum vertices per region.
The fixed partition assumptions together with full information feedback that keep the polyhedral structure stable enough for the region-switch counting argument to apply.
Regret in polyhedral online convex optimization equals Θ(√((1+RS_T) T log V_max)) where RS_T counts active region switches.
References
Receipt and verification
| First computed | 2026-05-18T02:44:16.937093Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad8e07e604a2505a1af8da7598d9e35ee93b46a005f80a9820847bae41e2582a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VWHAPZQEUJIFUGXY3J2ZRWPDL3 \
| 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: ad8e07e604a2505a1af8da7598d9e35ee93b46a005f80a9820847bae41e2582a
Canonical record JSON
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