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        <identifier>oai:drops-oai.dagstuhl.de:18159</identifier>
        <datestamp>2024-03-06T11:01:10Z</datestamp>
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          <dc:title>The Wrong Direction of Jensen’s Inequality Is Algorithmically Right</dc:title>
          <dc:creator>Zamir, Or</dc:creator>
          <dc:subject>algorithms</dc:subject>
          <dc:subject>complexity</dc:subject>
          <dc:subject>Jensen’s inequality</dc:subject>
          <dc:description>Let 𝒜 be an algorithm with expected running time e^X, conditioned on the value of some random variable X. We construct an algorithm A' with expected running time O (e^𝖤[X]), that fully executes 𝒜. In particular, an algorithm whose running time is a random variable T can be converted to one with expected running time O (e^𝖤[ln T]), which is never worse than O(𝖤[T]). No information about the distribution of X is required for the construction of 𝒜'.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Or Zamir</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 261, 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2023.107</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-181593</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2023.107</dc:identifier>
          <dc:language>eng</dc:language>
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