activity
20202026
most citedLearning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach

6 citations · 20 across the 8 of their papers we have counts for

collaborators

9 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.LG2024★ 1 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.GT2023★ 5 cited

A System-Level Analysis of Conference Peer Review

Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck +1

The conference peer review process involves three constituencies with different objectives: authors want their papers accepted at prestigious venues (and quickly), conferences want…

cs.GT2022★ 2 cited

Peer Prediction for Learning Agents

Shi Feng, Fang-Yi Yu, Yiling Chen

Peer prediction refers to a collection of mechanisms for eliciting information from human agents when direct verification of the obtained information is unavailable. They are desig…

cs.GT2021★ 4 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.GT2021★ 2 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…

cs.GT2020★ 6 cited

Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach

Grant Schoenebeck, Fang-Yi Yu

Peer prediction mechanisms incentivize agents to truthfully report their signals even in the absence of verification by comparing agents' reports with those of their peers. In the…