Price of Privacy in the Keynesian Beauty Contest. - Hadi Elzayn; Zachary Schutzman (EC, 2019)

Fair Algorithms for Learning in Allocation Problems. - Hadi Elzayn; Shahin Jabbari; Christopher Jung 001; Michael J. Kearns; Seth Neel; Aaron Roth 001; Zachary Schutzman (FAT, 2019)

Equilibrium Characterization for Data Acquisition Games. - Jinshuo Dong; Hadi Elzayn; Shahin Jabbari; Michael J. Kearns; Zachary Schutzman (IJCAI, 2019)

The effects of competition and regulation on error inequality in data-driven markets. - Hadi Elzayn; Benjamin Fish (FAT*, 2020)

Differentially Private Call Auctions and Market Impact. - Emily Diana; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2020)

Algorithms and Learning for Fair Portfolio Design. - Emily Diana; Travis Dick; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Zachary Schutzman; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2021)

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. - Emily Black; Hadi Elzayn; Alexandra Chouldechova; Jacob Goldin; Daniel E. Ho (FAccT, 2022)

Equilibria in Auctions with Ad Types. - Hadi Elzayn; Riccardo Colini-Baldeschi; Brian Lan; Okke Schrijvers (WWW, 2022)

Optimal Data Acquisition with Privacy-Aware Agents. - Rachel Cummings; Hadi Elzayn; Emmanouil Pountourakis; Vasilis Gkatzelis; Juba Ziani (SaTML, 2023)

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. - Hadi Elzayn; Emily Black; Patrick Vossler; Nathanael Jo; Jacob Goldin; Daniel E. Ho (SaTML, 2024)