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        <datestamp>2024-03-06T10:46:15Z</datestamp>
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          <dc:title>Sign-Rank Can Increase Under Intersection</dc:title>
          <dc:creator>Bun, Mark</dc:creator>
          <dc:creator>Mande, Nikhil S.</dc:creator>
          <dc:creator>Thaler, Justin</dc:creator>
          <dc:subject>Sign rank</dc:subject>
          <dc:subject>dimension complexity</dc:subject>
          <dc:subject>communication complexity</dc:subject>
          <dc:subject>learning theory</dc:subject>
          <dc:description>The communication class UPP^{cc} is a communication analog of the Turing Machine complexity class PP. It is characterized by a matrix-analytic complexity measure called sign-rank (also called dimension complexity), and is essentially the most powerful communication class against which we know how to prove lower bounds.&#13;
For a communication problem f, let f wedge f denote the function that evaluates f on two disjoint inputs and outputs the AND of the results. We exhibit a communication problem f with UPP^{cc}(f)= O(log n), and UPP^{cc}(f wedge f) = Theta(log^2 n). This is the first result showing that UPP communication complexity can increase by more than a constant factor under intersection. We view this as a first step toward showing that UPP^{cc}, the class of problems with polylogarithmic-cost UPP communication protocols, is not closed under intersection.&#13;
Our result shows that the function class consisting of intersections of two majorities on n bits has dimension complexity n^{Omega(log n)}. This matches an upper bound of (Klivans, O'Donnell, and Servedio, FOCS 2002), who used it to give a quasipolynomial time algorithm for PAC learning intersections of polylogarithmically many majorities. Hence, fundamentally new techniques will be needed to learn this class of functions in polynomial time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Mark Bun and Nikhil S. Mande and Justin Thaler</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 132, 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2019.30</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-106067</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2019.30</dc:identifier>
          <dc:language>eng</dc:language>
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