From the 1 of 14 linked papers with an AI index.
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Prior-Agnostic Robust Forecast Aggregation
Zhi Chen, Cheng Peng, Wei Tang
Robust forecast aggregation combines the predictions of multiple information sources to perform well in the worst case across all possible information structures. Previous work lar…
Is This Predictor More Informative than Another? A Decision-Theoretical Comparison
Yiding Feng, Liuhan Qian, Wei Tang
In many real-world applications, a model provider provides probabilistic forecasts to downstream decision-makers who use them to make decisions under diverse payoff objectives. The…
Persuasive Calibration
Yiding Feng, Wei Tang
We introduce and study the persuasive calibration problem, where a principal aims to provide trustworthy predictions about underlying events to a downstream agent to make desired d…
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Siqing Zhang, Yuchen Ding, Wei Tang +3
Under stringent privacy constraints, whether federated recommendation systems can achieve group fairness remains an inadequately explored question. Taking gender fairness as a repr…