High-arity Sample Compression
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Abstract (arXiv)
Recently, a series of works have started studying variations of concepts from learning theory for product spaces, which can be collected under the name high-arity learning theory. In this work, we consider a high-arity variant of sample compression schemes and we prove that the existence of a high-arity sample compression scheme of non-trivial quality implies high-arity PAC learnability.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 28 references that are in the map. First posted on arXiv 12 May 2026.
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4 of 28 references.
References · 4
- 2015Sample compression schemes for VC classescited by 47
- 2016On statistical learning via the lens of compressioncited by 10
- 2019Graph-based Discriminators: Sample Complexity and Expressivenesscited by 2
- 2026Uniform Laws of Large Numbers in Product Spacescited by 2
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