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cs.GT2026
Auction Design with ROI-Constrained Bidders: Truthfulness and Revenue Maximization
Zhiqiang Zhuang, Quan Yu, Yisong Wang +2
The return-on-investment (ROI) constraint is central to many auctions, particularly in online advertising, where a bidder is unwilling to pay more than a fixed fraction of the valu…
cs.GT2026
Bridging the Gap Between Estimated and True Regret Towards Reliable Regret Estimation in Deep Learning based Mechanism Design
Shuyuan You, Zhiqiang Zhuang, Kewen Wang +1
Recent advances, such as RegretNet, ALGnet, RegretFormer and CITransNet, use deep learning to approximate optimal multi item auctions by relaxing incentive compatibility (IC) and m…