5 papers
Simple and Robust Quality Disclosure: The Power of Quantile Partition
Shipra Agrawal, Yiding Feng, Wei Tang
Quality information on online platforms is often conveyed through simple, percentile-based badges and tiers that remain stable across different market environments. Motivated by th…
No-Regret Online Autobidding Algorithms in First-price Auctions
Yuan Deng, Yilin Li, Wei Tang +1
Automated bidding to optimize online advertising with various constraints, e.g. ROI constraints and budget constraints, is widely adopted by advertisers. A key challenge lies in de…
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…