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Fair Algorithms for Learning in Allocation Problems.
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman: Fair Algorithms for Learning in Allocation Problems. CoRR abs/1808.10549 (2018)
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Equilibrium Characterization for Data Acquisition Games.
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman: Equilibrium Characterization for Data Acquisition Games. CoRR abs/1905.08909 (2019)
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Price of Privacy in the Keynesian Beauty Contest.
Hadi Elzayn, Zachary Schutzman: Price of Privacy in the Keynesian Beauty Contest. CoRR abs/1905.00844 (2019)
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Equilibrium Characterization for Data Acquisition Games.
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman: Equilibrium Characterization for Data Acquisition Games. IJCAI 2019: 252-258
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Fair Algorithms for Learning in Allocation Problems.
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman: Fair Algorithms for Learning in Allocation Problems. FAT 2019: 170-179
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Price of Privacy in the Keynesian Beauty Contest.
Hadi Elzayn, Zachary Schutzman: Price of Privacy in the Keynesian Beauty Contest. EC 2019: 845-863
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Algorithms and Learning for Fair Portfolio Design.
Emily Diana, Travis Dick, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani: Algorithms and Learning for Fair Portfolio Design. CoRR abs/2006.07281 (2020)
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Differentially Private Call Auctions and Market Impact.
Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani: Differentially Private Call Auctions and Market Impact. CoRR abs/2002.05699 (2020)
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Differentially Private Call Auctions and Market Impact.
Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani: Differentially Private Call Auctions and Market Impact. EC 2020: 541-583
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The effects of competition and regulation on error inequality in data-driven...
Hadi Elzayn, Benjamin Fish: The effects of competition and regulation on error inequality in data-driven markets. FAT* 2020: 669-679
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Equilibria in Auctions With Ad Types.
Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers: Equilibria in Auctions With Ad Types. CoRR abs/2103.06177 (2021)
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Algorithms and Learning for Fair Portfolio Design.
Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani: Algorithms and Learning for Fair Portfolio Design. EC 2021: 371-389
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Optimal Data Acquisition with Privacy-Aware Agents.
Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis, Emmanouil Pountourakis, Juba Ziani: Optimal Data Acquisition with Privacy-Aware Agents. CoRR abs/2209.06340 (2022)
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Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit...
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho: Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. CoRR abs/2206.09875 (2022)
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Equilibria in Auctions with Ad Types.
Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers: Equilibria in Auctions with Ad Types. WWW 2022: 68-78
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Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit...
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho: Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. FAccT 2022: 1479-1503
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Estimating and Implementing Conventional Fairness Metrics With Probabilistic...
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho: Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. CoRR abs/2310.01679...
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