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Creators/Authors contains: "Mehta, Aranyak"

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  1. ; ; ; (, ACM)
    Full Text Available 
  2. ; ; ; ; ; (, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)
    Kumar, Amit; Ron-Zewi, Noga (Ed.)
    We initiate the study of centralized algorithms for welfare-maximizing allocation of goods to buyers subject to average-value constraints. We show that this problem is NP-hard to approximate beyond a factor of e/(e-1), and provide a 4e/(e-1)-approximate offline algorithm. For the online setting, we show that no non-trivial approximations are achievable under adversarial arrivals. Under i.i.d. arrivals, we present a polytime online algorithm that provides a constant approximation of the optimal (computationally-unbounded) online algorithm. In contrast, we show that no constant approximation of the ex-post optimum is achievable by an online algorithm. 
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  3. ; ; ; ; (, Advances in neural information processing systems)
    Accepted Manuscript Full Text Available
  4. ; ; ; (, Advances in neural information processing systems)
    null (Ed.)
    Accepted Manuscript Full Text Available