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cs.GT2024
Clock Auctions Augmented with Unreliable Advice
Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan
We provide the first analysis of (deferred acceptance) clock auctions in the learning-augmented framework. These auctions satisfy a unique list of appealing properties, including o…
cs.GT2024
Multi-Parameter Mechanisms for Consumer Surplus Maximization
Tomer Ezra, Daniel Schoepflin, Ariel Shaulker
We consider the problem of designing auctions which maximize consumer surplus (i.e., the social welfare minus the payments charged to the buyers). In the consumer surplus maximizat…