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Hoda Heidari
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Fairness in criminal justice risk assessments: The state of the art
R Berk, H Heidari, S Jabbari, M Kearns, A Roth
Sociological Methods & Research 50 (1), 3-44, 2021
10102021
A convex framework for fair regression
R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ...
arXiv preprint arXiv:1706.02409, 2017
3492017
A unified approach to quantifying algorithmic unfairness: Measuring individual &group unfairness via inequality indices
T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ...
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
2902018
Mathematical notions vs. human perception of fairness: A descriptive approach to fairness for machine learning
M Srivastava, H Heidari, A Krause
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1932019
A moral framework for understanding fair ml through economic models of equality of opportunity
H Heidari, M Loi, KP Gummadi, A Krause
Proceedings of the conference on fairness, accountability, and transparency …, 2019
1552019
Fairness behind a veil of ignorance: A welfare analysis for automated decision making
H Heidari, C Ferrari, K Gummadi, A Krause
Advances in neural information processing systems 31, 2018
1272018
On the long-term impact of algorithmic decision policies: Effort unfairness and feature segregation through social learning
H Heidari, V Nanda, KP Gummadi
arXiv preprint arXiv:1903.01209, 2019
642019
Preventing Disparate Treatment in Sequential Decision Making.
H Heidari, A Krause
IJCAI, 2248-2254, 2018
472018
Tight Policy Regret Bounds for Improving and Decaying Bandits.
H Heidari, MJ Kearns, A Roth
IJCAI, 1562-1570, 2016
462016
Learning from contagion (without timestamps)
K Amin, H Heidari, M Kearns
International Conference on Machine Learning, 1845-1853, 2014
342014
Four years of FAccT: A reflexive, mixed-methods analysis of research contributions, shortcomings, and future prospects
B Laufer, S Jain, AF Cooper, J Kleinberg, H Heidari
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
282022
A validity perspective on evaluating the justified use of data-driven decision-making algorithms
A Coston, A Kawakami, H Zhu, K Holstein, H Heidari
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 690-704, 2023
262023
Stateful strategic regression
K Harris, H Heidari, SZ Wu
Advances in Neural Information Processing Systems 34, 28728-28741, 2021
222021
Strategic instrumental variable regression: Recovering causal relationships from strategic responses
K Harris, DDT Ngo, L Stapleton, H Heidari, S Wu
International Conference on Machine Learning, 8502-8522, 2022
212022
A unifying framework for combining complementary strengths of humans and ML toward better predictive decision-making
C Rastogi, L Leqi, K Holstein, H Heidari
arXiv preprint arXiv:2204.10806, 2022
182022
Allocating opportunities in a dynamic model of intergenerational mobility
H Heidari, J Kleinberg
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
182021
A philosophical theory of fairness for prediction-based decisions
M Loi, A Herlitz, H Heidari
Available at SSRN 3450300, 2019
182019
Fair equality of chances for prediction-based decisions
M Loi, A Herlitz, H Heidari
Economics & Philosophy, 1-24, 2021
162021
Pricing a low-regret seller
H Heidari, M Mahdian, U Syed, S Vassilvitskii, S Yazdanbod
International Conference on Machine Learning, 2559-2567, 2016
152016
A human-in-the-loop framework to construct context-aware mathematical notions of outcome fairness
M Yaghini, A Krause, H Heidari
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1023 …, 2021
142021
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Articles 1–20