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The Sample Complexity of Multiple Change Point Identification under Bandit Feedback

Maximilian Graf, Victor Thuot

Sample complexity for locating multiple change points under bandit feedback is governed jointly by jump sizes and their relative positions.

arxiv:2605.13252 v1 · 2026-05-13 · stat.ML · cs.LG · math.ST · stat.TH

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Claims

C1strongest claim

We demonstrate, both empirically and theoretically, that for general δ and η, the complexity is jointly governed by the jumps and the relative positions of the change points.

C2weakest assumption

The number of change points is known in advance and the underlying function is exactly piecewise constant with jumps of unknown but fixed magnitudes; if the number is unknown or the function has smooth transitions instead of sharp jumps, the detection and refinement phases may fail to achieve the stated precision.

C3one line summary

An adaptive bandit algorithm for multiple change-point localization achieves non-asymptotic sample bounds jointly controlled by jump magnitudes and change-point spacing for any fixed δ and η.

References

45 extracted · 45 resolved · 0 Pith anchors

[1] Adaptive sensing performance lower bounds for sparse signal detection and support estimation , author=. Bernoulli , volume=. 2014 , publisher= 2014
[2] The 28th International Conference on Artificial Intelligence and Statistics , year=
[3] Proceedings of the 42nd International Conference on Machine Learning , pages = 2025
[4] Conference on Learning Theory , pages= 2016
[5] Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits , author=. The 38th Conference on Uncertainty in Artificial Intelligence , year=

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First computed 2026-05-18T02:44:49.419270Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

338d1e5e71737b062d33ec0bcf7f528e3d454ffa526f315512032f918433a883

Aliases

arxiv: 2605.13252 · arxiv_version: 2605.13252v1 · doi: 10.48550/arxiv.2605.13252 · pith_short_12: GOGR4XTRON5Q · pith_short_16: GOGR4XTRON5QMLJT · pith_short_8: GOGR4XTR
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOGR4XTRON5QMLJT5QF4672SRY \
  | 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: 338d1e5e71737b062d33ec0bcf7f528e3d454ffa526f315512032f918433a883
Canonical record JSON
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