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        <identifier>oai:drops-oai.dagstuhl.de:11745</identifier>
        <datestamp>2024-03-06T10:48:36Z</datestamp>
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          <dc:title>Optimal Single-Choice Prophet Inequalities from Samples</dc:title>
          <dc:creator>Rubinstein, Aviad</dc:creator>
          <dc:creator>Wang, Jack Z.</dc:creator>
          <dc:creator>Weinberg, S. Matthew</dc:creator>
          <dc:subject>Online algorithms</dc:subject>
          <dc:subject>Probability</dc:subject>
          <dc:subject>Optimization</dc:subject>
          <dc:subject>Prophet inequalities</dc:subject>
          <dc:subject>Samples</dc:subject>
          <dc:subject>Auctions</dc:subject>
          <dc:description>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 &gt; 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].</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Aviad Rubinstein and Jack Z. Wang and S. Matthew Weinberg</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 151, 11th Innovations in Theoretical Computer Science Conference (ITCS 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2020.60</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-117452</dc:identifier>
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          <dc:language>eng</dc:language>
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