From the 1 of 12 linked papers with an AI index.
12 papers
The Limits of Price Discrimination with a Bayesian Seller
Yuan Deng, Yilin Li, Wei Tang +1
The paper analyzes how a monopoly seller can optimally segment markets and set different prices when its production cost is private and Bayesian, providing a polynomial‑time method…
Algorithmic Expert Aggregation
Wei Tang, Hanrui Zhang
Forecast aggregation aims to combine information from multiple Bayesian experts' forecasts into an aggregate forecast. In much of this literature, however, the aggregate forecast i…
Explainable Information Design
Yiling Chen, Tao Lin, Wei Tang +1
Optimal signaling schemes in information design (Bayesian persuasion) often involve randomization or disconnected partitions of state space, which might be too intricate to be audi…
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…
Private Private Information in Second-Price Auction
Boyu Liu, Wei Tang, Zihe Wang +1
Classic results show that even an arbitrarily small correlation across bidders' information can enable full surplus extraction in auctions and related mechanism design settings. Mo…
Rethinking Trust Region Bayesian Optimization in High Dimensions
Wei-Ting Tang, Joel A. Paulson
Trust Region Bayesian Optimization (TuRBO) is an effective strategy for alleviating the curse of dimensionality in high-dimensional black-box optimization. However, inappropriate l…