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Valiant's learnability model revisited, new characterization established

By PulseAugur Editorial · [2 sources] ·

Researchers have revisited Valiant's original 1984 learnability model, which differs from the more common PAC learning model by allowing learners to issue membership queries and requiring hypotheses with no false positives. They established a new characterization for learnability in Valiant's model, showing it is strictly between PAC learning and a variant without queries. The study also presents the first algorithm for learning $d$-dimensional halfspaces within Valiant's framework, demonstrating their learnability with queries. AI

IMPACT Refines theoretical understanding of learnability, potentially influencing future algorithm design.

RANK_REASON Academic paper detailing theoretical computer science research.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Valiant's learnability model revisited, new characterization established

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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Manolis Zampetakis ·

    What is Learnable in Valiant's Theory of the Learnable?

    Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only positives, may issue membership queries, and must output a hypothesis with no false positives. Prior work…

  2. arXiv stat.ML TIER_1 English(EN) · Steve Hanneke, Anay Mehrotra, Grigoris Velegkas, Manolis Zampetakis ·

    What is Learnable in Valiant's Theory of the Learnable?

    arXiv:2605.13840v1 Announce Type: new Abstract: Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only positives, may issue membership queries, and must output …

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