High-arity Sample Compression
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866916012475023360 |
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| author | Coregliano, Leonardo N. Opich, William |
| author_facet | Coregliano, Leonardo N. Opich, William |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_12465 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | High-arity Sample Compression Coregliano, Leonardo N. Opich, William Machine Learning Primary: 68Q32 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. |
| title | High-arity Sample Compression |
| topic | Machine Learning Primary: 68Q32 |
| url | https://arxiv.org/abs/2605.12465 |