4 papers
Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning
Jiahao Zhang, Lujing Zhang, Keltin Grimes +3
A recurring challenge in preference fine-tuning (PFT) is handling (i.e., cyclic) preferences. Intransitive preferences often stem from either …
Persuasive Prediction via Decision Calibration
Jingwu Tang, Jiahao Zhang, Fei Fang +1
Bayesian persuasion, a central model in information design, studies how a sender, who privately observes a state drawn from a prior distribution, strategically sends a signal to in…
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Jingwu Tang, Jiayun Wu, Zhiwei Steven Wu +1
When model predictions inform downstream decision making, a natural question is under what conditions can the decision-makers simply respond to the predictions as if they were the…
Ex-post Individually Rational Bayesian Persuasion
Jiahao Zhang, Shuran Zheng, Renato Paes Leme +1
In the Bayesian persuasion model, a sender can convince a receiver to choose an alternative action to the one originally preferred by the receiver. A crucial assumption in this mod…