Some optimal inapproximability results
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Algorithmic mechanism design (extended abstract)
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Truth revelation in approximately efficient combinatorial auctions
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Optimal solutions for multi-unit combinatorial auctions: branch and bound heuristics
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Combinatorial auctions with decreasing marginal utilities
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(Incremental) priority algorithms
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Incentive compatible multi unit combinatorial auctions
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Truthful Mechanisms for One-Parameter Agents
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Approximation techniques for utilitarian mechanism design
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Truthful and Near-Optimal Mechanism Design via Linear Programming
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Truthful randomized mechanisms for combinatorial auctions
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Games with Incomplete Information Played by "Bayesian" Players, I-III
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Mechanisms for multi-unit auctions
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Greedy in approximation algorithms
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Algorithmic Game Theory
Bayesian Combinatorial Auctions
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On the Hardness of Being Truthful
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Bayesian algorithmic mechanism design
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On the limitations of Greedy mechanism design for truthful combinatorial auctions
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GSP auctions with correlated types
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On the efficiency of equilibria in generalized second price auctions
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Welfare guarantees for combinatorial auctions with item bidding
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The price of anarchy in games of incomplete information
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Uniform price auctions: equilibria and efficiency
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Simultaneous single-item auctions
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Risk sensitivity of price of anarchy under uncertainty
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Simultaneous auctions are (almost) efficient
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Composable and efficient mechanisms
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
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We study mechanisms for utilitarian combinatorial allocation problems, where agents are not assumed to be single-minded. This class of problems includes combinatorial auctions, multi-unit auctions, unsplittable flow problems, and others. We focus on the problem of designing mechanisms that approximately optimize social welfare at every Bayes-Nash equilibrium (BNE), which is the standard notion of equilibrium in settings of incomplete information. For a broad class of greedy approximation algorithms, we give a general black-box reduction to deterministic mechanisms with almost no loss to the approximation ratio at any BNE. We also consider the special case of Nash equilibria in full-information games, where we obtain tightened results. This solution concept is closely related to the well-studied price of anarchy. Furthermore, for a rich subclass of allocation problems, pure Nash equilibria are guaranteed to exist for our mechanisms. For many problems, the approximation factors we obtain at equilibrium improve upon the best known results for deterministic truthful mechanisms. In particular, we exhibit a simple deterministic mechanism for general combinatorial auctions that obtains an O(√m) approximation at every BNE.