activity
20232026
most citedFair Allocation in Dynamic Mechanism Design

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

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…

cs.GT2026

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.…

stat.ML2025

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 (…

econ.TH2025

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…

cs.LG2024★ 1 cited

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…

cs.GT2024★ 1 cited

Fair Allocation in Dynamic Mechanism Design

Alireza Fallah, Michael I. Jordan, Annie Ulichney

We consider a dynamic mechanism design problem where an auctioneer sells an indivisible good to groups of buyers in every round, for a total of rounds. The auctioneer aims to m…

econ.TH2024

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…

econ.TH2024

The Limits of Price Discrimination Under Privacy Constraints

Alireza Fallah, Michael I. Jordan, Ali Makhdoumi +1

We study a producer's problem of selling a product to a continuum of privacy-conscious consumers, where the producer can implement third-degree price discrimination, offering diffe…

cs.GT2023

Contract Design With Safety Inspections

Alireza Fallah, Michael I. Jordan

We study the role of regulatory inspections in a contract design problem in which a principal interacts separately with multiple agents. Each agent's hidden action includes a dimen…