Hoda Heidari
Cited by
Cited by
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
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
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
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
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
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
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
Tight Policy Regret Bounds for Improving and Decaying Bandits.
H Heidari, MJ Kearns, A Roth
IJCAI, 1562-1570, 2016
Preventing Disparate Treatment in Sequential Decision Making.
H Heidari, A Krause
IJCAI, 2248-2254, 2018
Learning from contagion (without timestamps)
K Amin, H Heidari, M Kearns
International Conference on Machine Learning, 1845-1853, 2014
Pricing a low-regret seller
H Heidari, M Mahdian, U Syed, S Vassilvitskii, S Yazdanbod
International Conference on Machine Learning, 2559-2567, 2016
Allocating opportunities in a dynamic model of intergenerational mobility
H Heidari, J Kleinberg
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
Stateful strategic regression
K Harris, H Heidari, SZ Wu
Advances in Neural Information Processing Systems 34, 28728-28741, 2021
New models for competitive contagion
M Draief, H Heidari, M Kearns
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Depth-workload tradeoffs for workforce organization
H Heidari, M Kearns
First AAAI Conference on Human Computation and Crowdsourcing, 2013
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
Economic theories of distributive justice for fair machine learning
KP Gummadi, H Heidari
Companion Proceedings of The 2019 World Wide Web Conference, 1301-1302, 2019
On the impact of choice architectures on inequality in online donation platforms
A Chakraborty, N Mota, AJ Biega, KP Gummadi, H Heidari
The World Wide Web Conference, 2623-2629, 2019
Toward optimal vaccination strategies for probabilistic models
Z Abbassi, H Heidari
Proceedings of the 20th international conference companion on World wide web …, 2011
A Philosophical Theory of Fairness for Prediction-Based Decisions.
M Loi, A Herlitz, H Heidari
Available at SSRN 3450300, 2019
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