Optimal Single-Choice Prophet Inequalities from Samples
Author(s): Rubinstein, Aviad; Wang, Jack Z; Weinberg, S Matthew
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Abstract: | We study the single-choice Prophet Inequality problem when the gambler is given access to samples. We show that the optimal competitive ratio of 1/2 can be achieved with a single sample from each distribution. When the distributions are identical, we show that for any constant ε > 0, O(n) samples from the distribution suffice to achieve the optimal competitive ratio (≈ 0.745) within (1+ε), resolving an open problem of [José R. Correa et al., 2019]. |
Publication Date: | 2020 |
Citation: | Rubinstein, Aviad, Jack Z. Wang, and S. Matthew Weinberg. "Optimal Single-Choice Prophet Inequalities from Samples." In 11th Innovations in Theoretical Computer Science Conference (ITCS) (2020): pp. 60:1-60:10. doi:10.4230/LIPIcs.ITCS.2020.60 |
DOI: | 10.4230/LIPIcs.ITCS.2020.60 |
ISSN: | 1868-8969 |
Pages: | 60:1 - 60:10 |
Type of Material: | Conference Article |
Journal/Proceeding Title: | 11th Innovations in Theoretical Computer Science Conference |
Version: | Final published version. This is an open access article. |
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