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Pith Number

pith:VWHAPZQE

pith:2026:VWHAPZQEUJIFUGXY3J2ZRWPDL3
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Polyhedral Instability Governs Regret in Online Learning

Basel Alomair, Bhaskar Ramasubramanian, Fengqing Jiang, Kaiyuan Zheng, Linda Bushnell, Luyao Niu, Radha Poovendran, Yichen Feng, Yuetai Li

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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\pithnumber{VWHAPZQEUJIFUGXY3J2ZRWPDL3}

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4 Citations open
5 Replications open
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Claims

C1strongest claim

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.

C2weakest assumption

The fixed partition assumptions together with full information feedback that keep the polyhedral structure stable enough for the region-switch counting argument to apply.

C3one line summary

Regret in polyhedral online convex optimization equals Θ(√((1+RS_T) T log V_max)) where RS_T counts active region switches.

References

19 extracted · 19 resolved · 0 Pith anchors

[1] Bartlett, Alexander Rakhlin, and Ambuj Tewari 2008
[2] Regret in online combinatorial optimization.Mathematics of Operations Research, 39(1):31–45, 2014 2014 · doi:10.1287/moor
[3] Adaptively tracking the best bandit arm with an unknown number of distribution changes 2019
[4] Learning with submodular functions: A convex optimization perspective 2013
[5] Combinatorial bandits.Journal of Computer and System Sciences, 78(5):1404–1422, 2012 2012 · doi:10.1016/j.jcss.2012.01.001
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

arxiv: 2605.13692 · arxiv_version: 2605.13692v1 · doi: 10.48550/arxiv.2605.13692 · pith_short_12: VWHAPZQEUJIF · pith_short_16: VWHAPZQEUJIFUGXY · pith_short_8: VWHAPZQE
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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
{
  "metadata": {
    "abstract_canon_sha256": "2bd5c554aaed882da16bc7c405b6f38fcf0fe19e6f5d38538647c457e94923a4",
    "cross_cats_sorted": [
      "cs.CC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T15:45:44Z",
    "title_canon_sha256": "2512ee722e47d0a2da1d88542986a6fd89094c0a96bcc67bf7ebed7486cd980c"
  },
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  "source": {
    "id": "2605.13692",
    "kind": "arxiv",
    "version": 1
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}