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Computationally feasible VCG mechanisms
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Combinatorial auctions with decreasing marginal utilities
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Algorithm for optimal winner determination in combinatorial auctions
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Inapproximability results for combinatorial auctions with submodular utility functions
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On characterizations of truthful mechanisms for combinatorial auctions and scheduling
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Stepwise randomized combinatorial auctions achieve revenue monotonicity
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Mechanism design for fractional scheduling on unrelated machines
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Approximation algorithms for secondary spectrum auctions
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Mechanism design for fractional scheduling on unrelated machines
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Multi-parameter mechanisms with implicit payment computation
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Combinatorial walrasian equilibrium
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Decomposing combinatorial auctions and set packing problems
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Approximate Mechanism Design without Money
ACM Transactions on Economics and Computation
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We design two computationally-efficient incentive-compatible mechanisms for combinatorial auctions with general bidder preferences. Both mechanisms are randomized, and are incentive-compatible in the universal sense. This is in contrast to recent previous work that only addresses the weaker notion of incentive compatibility in expectation. The first mechanism obtains an O(√m)-approximation of the optimal social welfare for arbitrary bidder valuations -- this is the best approximation possible in polynomial time. The second one obtains an O(log2 m)-approximation for a subclass of bidder valuations that includes all submodular bidders. This improves over the best previously obtained incentive-compatible mechanism for this class which only provides an O(√ m)-approximation.