3 papers
cs.GT2026
Incentivizing Truthful Data Contributions in a Marketplace for Mean Estimation
Keran Chen, Alex Clinton, Kirthevasan Kandasamy
We study a data marketplace where a broker intermediates between buyers, who seek to estimate the mean \(μ\) of an unknown normal distribution \(\Ncal(μ, Ï^2)\), and contributor…
cs.LG2026
A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton, Thomas Zeng, Yiding Chen +2
Modern data marketplaces and data sharing consortia increasingly rely on incentive mechanisms to encourage agents to contribute data. However, schemes that reward agents based on t…
cs.GT2025
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
Alex Clinton, Yiding Chen, Xiaojin Zhu +1
We study a collaborative learning problem where agents aim to estimate a vector by sampling from associated univariate normal distributi…