mlsanityData to 7 Oct 2026

Sign-Rank, Index, and List Replicability: Connections and Separations

arXiv 2606.18236 ↗First posted 16 Jun 2026cs.LG cs.IT math.ITcited by 1

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Abstract (arXiv)

In learning theory, the sign-rank of a binary concept class captures the smallest dimension in which it can be represented by points and halfspaces. Despite tremendous interest, lower bounds on sign-rank are notoriously difficult to come by. Two recent approaches to the problem establish lower bounds on sign-rank by measures that are easier to analyze: the mathbbZ2-index and the list replicability number. We order these measures, showing that the mathbbZ2-index is upper-bounded by a linear function of the list replicability number. As a main consequence, we obtain a strong separation between sign-rank and mathbbZ2-index, thereby resolving a question of Frick, Hosseini, and Vasileuski. This motivates a thorough study of list replicability, the stronger of the two lower-bounding measures. We establish upper bounds on the list replicability number by two combinatorial measures: height and minimum star number. We also prove a fundamental composition result, showing that the product of two concept classes has list replicability number bounded by the sum of the list replicability numbers of the two classes.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 24 of its 57 references that are in the map. First posted on arXiv 16 Jun 2026.

Builds on

24 of 57 references.

References · 24

  1. 2020An Equivalence Between Private Classification and Online Predictioncited by 63
  2. 2014Minimax Analysis of Active Learningcited by 61
  3. 2023Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalizationcited by 42
  4. 2015Refined Error Bounds for Several Learning Algorithmscited by 24
  5. 2022Replicable Banditscited by 22
  6. 2023Replicable Reinforcement Learningcited by 21
  7. 2023Replicability in Reinforcement Learningcited by 21
  8. 2021Understanding the Eluder Dimensioncited by 19
  9. 2023Replicable Clusteringcited by 19
  10. 2018Unlabeled sample compression schemes and corner peelings for ample and maximum classescited by 16
  11. 2021Robust learning under clean-label attackcited by 15
  12. 2023Local Borsuk-Ulam, Stability, and Replicabilitycited by 14
12 more
  1. 2023List and Certificate Complexities in Replicable Learningcited by 13
  2. 2023The Bayesian Stability Zoocited by 13
  3. 2024Replicable Learning of Large-Margin Halfspacescited by 12
  4. 2015Labeled compression schemes for extremal classescited by 11
  5. 2022Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classescited by 5
  6. 2024Dual VC Dimension Obstructs Sample Compression by Embeddingscited by 5
  7. 2022The unstable formula theorem revisited via algorithmscited by 4
  8. 2025Stability and List-Replicability for Agnostic Learnerscited by 4
  9. 2025Spherical dimensioncited by 4
  10. 2025Borsuk-Ulam and Replicable Learning of Large-Margin Halfspacescited by 3
  11. 2025Simplicial covering dimension of extremal concept classescited by 2
  12. 2026Tight list replicability bounds via a novel sphere covering theoremcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.