Primal and Dual Combinatorial Dimensions
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Abstract (arXiv)
We give tight bounds on the relation between the primal and dual of various combinatorial dimensions, such as the pseudo-dimension and fat-shattering dimension, for multi-valued function classes. These dimensional notions play an important role in the area of learning theory. We first review some (folklore) results that bound the dual dimension of a function class in terms of its primal, and after that give (almost) matching lower bounds. In particular, we give an appropriate generalization to multi-valued function classes of a well-known bound due to Assouad (1983), that relates the primal and dual VC-dimension of a binary function class.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 23 Aug 2021.
Builds on
2 of 29 references.
References · 2
- 2015Sample compression schemes for VC classescited by 46
- 2018Sample Compression for Real-Valued Learnerscited by 19
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 2.
6 papers.
- 2023Optimal PAC Bounds Without Uniform Convergencecited by 33
- 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learningcited by 23
- 2021Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Gamescited by 16
- 2022Adversarially Robust PAC Learnability of Real-Valued Functionscited by 8
- 2026Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scalecited by 1
- 2026Adversarially Robust PAC Learning with Optimal VC Ratescited by 0
- 2026Adversarially Robust PAC Learning with Optimal VC Rates21 Sep 2026
- 2026Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale13 May 2026
- 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning7 Jul 2023
- 2023Optimal PAC Bounds Without Uniform Convergence18 Apr 2023
- 2022Adversarially Robust PAC Learnability of Real-Valued Functions26 Jun 2022
- 2021Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games17 Nov 2021