Mechanism Design with Predictions

Chenyang Xu; Pinyan Lu

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arXiv · 2205.11313

Mechanism Design with Predictions

Chenyang Xu·Pinyan Lu

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Abstract

Improving algorithms via predictions is a very active research topic in recent years. This paper initiates the systematic study of mechanism design in this model. In a number of well-studied mechanism design settings, we make use of imperfect predictions to design mechanisms that perform much better than traditional mechanisms if the predictions are accurate (consistency), while always retaining worst-case guarantees even with very imprecise predictions (robustness). Furthermore, we refer to the largest prediction error sufficient to give a good performance as the error tolerance of a mechanism, and observe that an intrinsic tradeoff among consistency, robustness and error tolerance is common for mechanism design with predictions.

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BibTeX RIS

Chenyang Xu, Pinyan Lu. 2022-05-23. Mechanism Design with Predictions. https://arxiv.org/abs/2205.11313

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