7 papers
Response Time Enhances Alignment with Heterogeneous Preferences
Federico Echenique, Alireza Fallah, Baihe Huang +1
Aligning large language models (LLMs) to human preferences typically relies on aggregating pooled feedback into a single reward model. However, this standard approach assumes that…
Signaling in Data Markets via Free Samples
Nivasini Ananthakrishnan, Alireza Fallah, Michael I. Jordan
We study a setting in which a data buyer seeks to estimate an unknown parameter by purchasing samples from one of K data sellers. Each seller has privately known data quality (e.g.…
The Statistical Fairness-Accuracy Frontier
Alireza Fallah, Michael I. Jordan, Annie Ulichney
We study fairness-accuracy tradeoffs when a single predictive model must serve multiple demographic groups. A useful tool for understanding this tradeoff is the fairness-accuracy (…
On Three-Layer Data Markets
Alireza Fallah, Michael I. Jordan, Ali Makhdoumi +1
We study a three-layer data market comprising users (data owners), platforms, and a data buyer. Each user benefits from platform services in exchange for data, incurring privacy lo…
A General Framework for Estimating Preferences Using Response Time Data
Federico Echenique, Alireza Fallah, Michael I. Jordan
We propose a general methodology for recovering preference parameters from data on choices and response times. Our methods yield estimates with fast ( for data points) con…
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade +2
Local Differential Privacy (LDP) offers strong privacy guarantees without requiring users to trust external parties. However, LDP applies uniform protection to all data features, i…