Hoda Heidari
According to our database1,
Hoda Heidari
authored at least 34 papers
between 2011 and 2022.
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Bibliography
2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
CoRR, 2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making.
CoRR, 2022
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.
Proceedings of the International Conference on Machine Learning, 2022
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
Proc. ACM Hum. Comput. Interact., 2020
2019
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness.
CoRR, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
2018
ACM Trans. Economics and Comput., 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
CoRR, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
2011
Proceedings of the 20th International Conference on World Wide Web, 2011