Emily Black

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Remotely Sensed

Literature Review

Attention Deficit Hyperactivity Disorder

Meteorological Data

Top Venues

Publications

Emily Black, Talia Gillis, Zara Yasmine Hall
D-hacking. FAccT (2024)
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)
Fan Wu, Emily Black, Varun Chandrasekaran
Generative Monoculture in Large Language Models. CoRR (2024)
Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu
The Legal Duty to Search for Less Discriminatory Algorithms. CoRR (2024)
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 (2023)
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)
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. CoRR (2023)
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel Ho
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. FAccT (2022)
Emily Black, Manish Raghavan, Solon Barocas
Model Multiplicity: Opportunities, Concerns, and Solutions. FAccT (2022)
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. CoRR (2022)
Emily Black, Klas Leino, Matt Fredrikson
Selective Ensembles for Consistent Predictions. ICLR (2022)
Emily Black, Zifan Wang, Matt Fredrikson
Consistent Counterfactuals for Deep Models. ICLR (2022)
Emily Black, Klas Leino, Matt Fredrikson
Selective Ensembles for Consistent Predictions. CoRR (2021)
Emily Black, Matt Fredrikson
Leave-one-out Unfairness. FAccT (2021)
Emily Black, Matt Fredrikson
Leave-one-out Unfairness. CoRR (2021)
Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta
Consistent Counterfactuals for Deep Models. CoRR (2021)
Emily Black, Marie Hattingh
Assistive Technology for ADHD: A Systematic Literature Review. ICITL (2020)
Emily Black, Samuel Yeom, Matt Fredrikson
FlipTest: fairness testing via optimal transport. FAT* (2020)
Emily Black, Samuel Yeom, Matt Fredrikson
FlipTest: Fairness Auditing via Optimal Transport. CoRR (2019)
Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta
Feature-Wise Bias Amplification. ICLR (Poster) (2019)
Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta
Feature-Wise Bias Amplification. CoRR (2018)
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) (2016)
Elena Tarnavsky, Mark Mulligan, Mohamed Ouessar, Abdoulaye Faye, Emily Black
Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall. Remote. Sens. 5 (12) (2013)