2023
On the Robustness of Mechanism Design under Total Variation Distance
NeurIPS 2023poster
We study the problem of designing mechanisms when agents' valuation functions are drawn from unknown and correlated prior distributions. In particular, we are given a prior distribution $D$, and we are interested in designing a (truthful) mechanism that has good performance for all "true distributio…