| 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 | 1257 | 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 | 420 | 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 | 352 | 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 | 252 | 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 | 190 | 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 | 150 | 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 | 85 | 2019 |
| Tight Policy Regret Bounds for Improving and Decaying Bandits. H Heidari, MJ Kearns, A Roth IJCAI, 1562-1570, 2016 | 61 | 2016 |
| Preventing Disparate Treatment in Sequential Decision Making. H Heidari, A Krause IJCAI, 2248-2254, 2018 | 58 | 2018 |
| 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 | 50 | 2022 |
| Red-Teaming for generative AI: Silver bullet or security theater? M Feffer, A Sinha, WH Deng, ZC Lipton, H Heidari Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 421-437, 2024 | 43 | 2024 |
| 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 | 35 | 2023 |
| Learning from contagion (without timestamps) K Amin, H Heidari, M Kearns International conference on machine learning, 1845-1853, 2014 | 34 | 2014 |
| Stateful strategic regression K Harris, H Heidari, SZ Wu Advances in Neural Information Processing Systems 34, 28728-28741, 2021 | 31 | 2021 |
| 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 | 30 | 2022 |
| 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 | 25 | 2022 |
| Moral machine or Tyranny of the majority? M Feffer, H Heidari, ZC Lipton Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5974-5982, 2023 | 24 | 2023 |
| From preference elicitation to participatory ML: A critical survey & guidelines for future research M Feffer, M Skirpan, Z Lipton, H Heidari Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 38-48, 2023 | 22 | 2023 |
| Allocating opportunities in a dynamic model of intergenerational mobility H Heidari, J Kleinberg Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 22 | 2021 |
| Fair equality of chances for prediction-based decisions M Loi, A Herlitz, H Heidari Economics & Philosophy 40 (3), 557-580, 2024 | 21 | 2024 |