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ORCIDEmily Black
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2020 – today
- 2024
[c11]Emily Black
, Talia Gillis, Zara Yasmine Hall:
D-hacking. FAccT 2024: 602-615- [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 - [i10]Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu:
The Legal Duty to Search for Less Discriminatory Algorithms. CoRR abs/2406.06817 (2024) - [i9]Fan Wu, Emily Black, Varun Chandrasekaran:
Generative Monoculture in Large Language Models. CoRR abs/2407.02209 (2024) - 2023
- [c9]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO 2023: 36:1-36:11 - [i8]Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari:
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. CoRR abs/2309.17337 (2023) - [i7]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, Manish Raghavan, Solon Barocas:
Model Multiplicity: Opportunities, Concerns, and Solutions. FAccT 2022: 850-863 - [c7]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 - [c6]Emily Black, Klas Leino, Matt Fredrikson:
Selective Ensembles for Consistent Predictions. ICLR 2022 - [c5]Emily Black, Zifan Wang, Matt Fredrikson:
Consistent Counterfactuals for Deep Models. ICLR 2022 - [i6]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) - 2021
- [c4]Emily Black, Matt Fredrikson:
Leave-one-out Unfairness. FAccT 2021: 285-295 - [i5]Emily Black, Matt Fredrikson:
Leave-one-out Unfairness. CoRR abs/2107.10171 (2021) - [i4]Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta:
Consistent Counterfactuals for Deep Models. CoRR abs/2110.03109 (2021) - [i3]Emily Black, Klas Leino, Matt Fredrikson:
Selective Ensembles for Consistent Predictions. CoRR abs/2111.08230 (2021) - 2020
- [c3]Emily Black, Samuel Yeom, Matt Fredrikson:
FlipTest: fairness testing via optimal transport. FAT* 2020: 111-121 - [c2]Emily Black, Marie Hattingh:
Assistive Technology for ADHD: A Systematic Literature Review. ICITL 2020: 514-523
2010 – 2019
- 2019
- [c1]Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. ICLR (Poster) 2019 - [i2]Emily Black, Samuel Yeom, Matt Fredrikson:
FlipTest: Fairness Auditing via Optimal Transport. CoRR abs/1906.09218 (2019) - 2018
- [i1]Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. CoRR abs/1812.08999 (2018) - 2016
- [j2]Emily Black, Elena Tarnavsky, Ross Maidment, Helen Greatrex, Agrotosh Mookerjee, Tristan Quaife, Matthew Brown:
The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia. Remote. Sens. 8(4): 342 (2016) - 2013
- [j1]Elena Tarnavsky, Mark Mulligan, Mohamed Ouessar, Abdoulaye Faye, Emily Black:
Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall. Remote. Sens. 5(12): 6691-6716 (2013)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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