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"How much data is sufficient to learn high-performing algorithms? ..."

Maria-Florina Balcan et al. (2021)

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DOI: 10.1145/3406325.3451036

access: closed

type: Conference or Workshop Paper

metadata version: 2022-01-08

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  dblp key:
  - conf/stoc/BalcanDDKSV21
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  - https://dblp.org/rec/conf/stoc/BalcanDDKSV21
Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design. STOC 2021: 919-932

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