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Hadi Elzayn
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2020 – today
- 2024
- [c10]Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
:
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML 2024: 161-193 - 2023
- [c9]Rachel Cummings, Hadi Elzayn, Emmanouil Pountourakis, Vasilis Gkatzelis, Juba Ziani:
Optimal Data Acquisition with Privacy-Aware Agents. SaTML 2023: 210-224 - [i9]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 (2023) - 2022
- [c8]Emily Black
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. FAccT 2022: 1479-1503 - [c7]Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers:
Equilibria in Auctions with Ad Types. WWW 2022: 68-78 - [i8]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) - [i7]Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis, Emmanouil Pountourakis, Juba Ziani:
Optimal Data Acquisition with Privacy-Aware Agents. CoRR abs/2209.06340 (2022) - 2021
- [c6]Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth
Algorithms and Learning for Fair Portfolio Design. EC 2021: 371-389 - [i6]Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers:
Equilibria in Auctions With Ad Types. CoRR abs/2103.06177 (2021) - 2020
- [c5]Hadi Elzayn, Benjamin Fish:
The effects of competition and regulation on error inequality in data-driven markets. FAT* 2020: 669-679 - [c4]Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth
Differentially Private Call Auctions and Market Impact. EC 2020: 541-583 - [i5]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) - [i4]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)
2010 – 2019
- 2019
- [c3]Hadi Elzayn, Zachary Schutzman
Price of Privacy in the Keynesian Beauty Contest. EC 2019: 845-863 - [c2]Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth
Fair Algorithms for Learning in Allocation Problems. FAT 2019: 170-179 - [c1]Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
Equilibrium Characterization for Data Acquisition Games. IJCAI 2019: 252-258 - [i3]Hadi Elzayn, Zachary Schutzman
Price of Privacy in the Keynesian Beauty Contest. CoRR abs/1905.00844 (2019) - [i2]Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
Equilibrium Characterization for Data Acquisition Games. CoRR abs/1905.08909 (2019) - 2018
- [i1]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)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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