preprint
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Non-Adaptive Learning a Hidden Hipergraph
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- Citations
- 1
- References
- 24
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Paper overview
Abstract
We give a new deterministic algorithm that non-adaptively learns a hidden hypergraph from edge-detecting queries. All previous non-adaptive algorithms either run in exponential time or have non-optimal query complexity. We give the first polynomial time non-adaptive learning algorithm for learning hypergraph that asks almost optimal number of queries.
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Publication details
- DOI
- 10.48550/arxiv.1502.04137
- OpenAlex
- W2950852191
- Document type
- preprint
- Language
- EN
- Source
- arXiv (Cornell University)
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