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 | 938 | 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 | 319 | 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 | 269 | 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 | 176 | 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 | 141 | 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 | 121 | 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 | 59 | 2019 |

Tight Policy Regret Bounds for Improving and Decaying Bandits. H Heidari, MJ Kearns, A Roth IJCAI, 1562-1570, 2016 | 47 | 2016 |

Preventing Disparate Treatment in Sequential Decision Making. H Heidari, A Krause IJCAI, 2248-2254, 2018 | 44 | 2018 |

Learning from contagion (without timestamps) K Amin, H Heidari, M Kearns International Conference on Machine Learning, 1845-1853, 2014 | 32 | 2014 |

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 | 23 | 2022 |

Allocating opportunities in a dynamic model of intergenerational mobility H Heidari, J Kleinberg Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 19 | 2021 |

Stateful strategic regression K Harris, H Heidari, SZ Wu Advances in Neural Information Processing Systems 34, 28728-28741, 2021 | 18 | 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 | 17 | 2022 |

A Philosophical Theory of Fairness for Prediction-Based Decisions. M Loi, A Herlitz, H Heidari Available at SSRN 3450300, 2019 | 17 | 2019 |

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 | 15 | 2023 |

Pricing a low-regret seller H Heidari, M Mahdian, U Syed, S Vassilvitskii, S Yazdanbod International Conference on Machine Learning, 2559-2567, 2016 | 15 | 2016 |

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 | 13 | 2022 |

Depth-workload tradeoffs for workforce organization H Heidari, M Kearns Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 12 | 2013 |

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 | 11 | 2021 |