2 papers
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.LG2025
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
Ben Aoki-Sherwood, Catherine Bregou, David Liben-Nowell +2
The widely used Plackett-Luce ranking model assumes that individuals rank items by making repeated choices from a universe of items. But in many cases the universe is too big for p…