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        <identifier>oai:drops-oai.dagstuhl.de:5887</identifier>
        <datestamp>2024-03-06T10:37:05Z</datestamp>
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          <dc:title>Resource Optimization for Program Committee Members: A Subreview Article</dc:title>
          <dc:creator>Bender, Michael A.</dc:creator>
          <dc:creator>McCauley, Samuel</dc:creator>
          <dc:creator>Simon, Bertrand</dc:creator>
          <dc:creator>Singh, Shikha</dc:creator>
          <dc:creator>Vivien, Frédéric</dc:creator>
          <dc:subject>Scheduling</dc:subject>
          <dc:subject>Delegation</dc:subject>
          <dc:subject>Subreviews</dc:subject>
          <dc:description>This paper formalizes a resource-allocation problem that is all too familiar to the seasoned program-committee member. For each submission j that the PC member has the honor of reviewing, there is a choice. The PC member can spend the time to review submission j in detail on his/her own at a cost of C_i. Alternatively, the PC member can spend the time to identify and contact peers, hoping to recruit them as subreviewers, at a cost of 1 per subreviewer. These potential subreviewers have a certain probability of rejecting each review request, and this probability increases as time goes on.  Once the PC member runs out of time or unasked experts, he/she is forced to review the paper without outside assistance.  &#13;
 &#13;
This paper gives optimal solutions to several variations of the scheduling-reviewers problem. Most of the solutions from this paper are based on an iterated log function of C_i. In particular, with k rounds, the optimal solution sends the k-iterated log of C_i requests in the first round, the (k-1)-iterated log in the second round, and so forth. One of the contributions of this paper is solving this problem exactly, even when rejection probabilities may increase.  &#13;
&#13;
Naturally, PC members must make an integral number of subreview requests. This paper gives, as an intermediate result, a linear-time algorithm to transform the artificial problem in which one can send fractional requests into the less-artificial problem in which one sends an integral number of requests.  Finally, this paper considers the case where the PC member knows nothing about the probability that a potential subreviewer agrees to review the paper. This paper gives an approximation algorithm for this case, whose bounds improve as the number of rounds increases.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michael A. Bender and Samuel McCauley and Bertrand Simon and Shikha Singh and Frédéric Vivien</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 49, 8th International Conference on Fun with Algorithms (FUN 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FUN.2016.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-58872</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2016.7</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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