136 citations · 515 across the 65 of their papers we have counts for
67 papers
Contextual Procurement Auctions with Bandit Learning
Yiling Chen, Shi Feng, Sadie Zhao
We study repeated procurement auctions in which producers have private costs and the platform must learn the context-dependent value of selecting each producer. We evaluate perform…
Evidence Markets
Safwan Hossain, Gabriel Andrade, Chengqi Zang +1
Modern prediction markets face two limitations that restrict their applicability in a range of settings:~(i)~they reveal what the crowd believes but not the evidence or reasoning b…
Modeling Coincident Peak Pricing in Electricity Markets: Challenges and Peak Shaving Effectiveness
Qian Zhang, Sadie Zhao, Lucy Diao +4
Coincident Peak (CP) pricing is widely used in U.S. electricity markets to allocate capacity and transmission costs. This paper develops a behavioral game-theoretic framework for C…
Learning to Persuade a Biased Receiver
Yuqi Pan, Sadie Zhao, Milind Tambe +1
We study a repeated information design setting in which the receiver, who is also the decision-maker, updates beliefs in a systematically biased way. More specifically, a distorted…
Data Reliability Scoring
Yiling Chen, Shi Feng, Paul Kattuman +1
How can we assess the reliability of a dataset without access to ground truth? We introduce the problem of reliability scoring for datasets collected from potentially strategic sou…
WOMAC: A Mechanism For Prediction Competitions
Siddarth Srinivasan, Tao Lin, Connacher Murphy +3
Competitions are widely used to identify top performers in judgmental forecasting and machine learning, and the standard competition design ranks competitors based on their cumulat…