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cs.LG2026
High-arity Sample Compression
Leonardo N. Coregliano, William Opich
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.…
cs.LG2025
A packing lemma for VCN-dimension and learning high-dimensional data
Leonardo N. Coregliano, Maryanthe Malliaris
Recently, the authors introduced the theory of high-arity PAC learning, which is well-suited for learning graphs, hypergraphs and relational structures. In the same initial work, t…
cs.LG2024
High-arity PAC learning via exchangeability
Leonardo N. Coregliano, Maryanthe Malliaris
We develop a theory of high-arity PAC learning, which is statistical learning in the presence of "structured correlation". In this theory, hypotheses are either graphs, hypergraphs…