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A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms


Jun 30, 2022
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari


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Perspectives on Incorporating Expert Feedback into Model Updates


May 13, 2022
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar


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A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making


Apr 22, 2022
Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari

* 25 pages, 1 figure 

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A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms


Apr 21, 2022
Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao-Fei Cheng, Haiyi Zhu, Steven Wu, Hoda Heidari


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Bayesian Persuasion for Algorithmic Recourse


Dec 12, 2021
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu


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Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses


Jul 12, 2021
Keegan Harris, Daniel Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu


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Stateful Strategic Regression


Jun 07, 2021
Keegan Harris, Hoda Heidari, Zhiwei Steven Wu


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Addressing the Long-term Impact of ML Decisions via Policy Regret


Jun 02, 2021
David Lindner, Hoda Heidari, Andreas Krause

* Accepted to IJCAI 2021 

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A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness


Nov 08, 2019
Mohammad Yaghini, Hoda Heidari, Andreas Krause


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On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning


Mar 04, 2019
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi


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