activity
20202026
most citedThe Limits of Multi-task Peer Prediction

4 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GT2026

Optimally Auditing Adversarial Agents

Sanmay Das, Fang-Yi Yu, Yuang Zhang

Fraud can pose a challenge in many resource allocation domains, including social service delivery and credit provision. For example, agents may misreport private information in ord…

cs.GT2024

Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint

Prommy Sultana Hossain, Xintong Wang, Fang-Yi Yu

Designing automated market makers (AMMs) for prediction markets on combinatorial securities over large outcome spaces poses significant computational challenges. Prior research has…

cs.LG20241 cited

Algorithmic Robust Forecast Aggregation

Yongkang Guo, Jason D. Hartline, Zhihuan Huang +3

Forecast aggregation combines the predictions of multiple forecasters to improve accuracy. However, the lack of knowledge about forecasters' information structure hinders optimal a…

cs.GT20214 cited

The Limits of Multi-task Peer Prediction

Shuran Zheng, Fang-Yi Yu, Yiling Chen

Recent advances in multi-task peer prediction have greatly expanded our knowledge about the power of multi-task peer prediction mechanisms. Various mechanisms have been proposed in…

cs.GT20212 cited

Cooperation in Threshold Public Projects with Binary Actions

Yiling Chen, Biaoshuai Tao, Fang-Yi Yu

When can cooperation arise from self-interested decisions in public goods games? And how can we help agents to act cooperatively? We examine these classical questions in a pivotal…

cs.GT2020

Timely Information from Prediction Markets

Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu

Prediction markets are powerful tools to elicit and aggregate beliefs from strategic agents. However, in current prediction markets, agents may exhaust the social welfare by compet…