Wenyi Fang

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Over the past decade, computer-automated barter exchange has become one of the most successful applications at the intersection of AI and economics. Standard exchange models, such as house allocation and kidney exchange cannot be applied to an emerging industrial application, coined digital good exchange, where an agent still possesses her initial endowment(More)
We study fairness and efficiency properties of randomized algorithms for barter exchanges with direct applications to kidney exchange problems. It is well documented that randomization can serve as a tool to ensure fairness among participants. However, in many applications , practical constraints often restrict the maximum allowed cycle-length of the(More)
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