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We study the problem of learning, from observational data, fair and interpretable policies that effectively match heterogeneous individuals to scarce resources of different types.
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Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
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Risk Assessment in Criminal Sentencing
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Robust multiclass queuing theory for wait time estimation in resource allocation systems
Chaithanya Bandi, Nikolaos Trichakis, and Phebe Vayanos. 2019 · 2017
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Evidence from the past: AI decision AIDS to improve housing systems for homeless youth. In AAAI Fall Symposium - Technical Report , Vol. FS-17-01 - FS-17-05. AAAI Press, Stanford University, United States
Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, and Matthew Morton. 2017 · 2017
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Prevalence and Correlates of Youth Homelessness in the United States
Matthew H. Morton, Amy Dworsky, Jennifer L. Matjasko, Susanna R. Curry, David Schlueter, Raúl Chávez, and Anne F. Farrell. 2018 · 2017
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Allocating interventions based on predicted outcomes: A case study on homelessness services. In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 . AAAI Press, Honolulu, Hawaii, United States, 622–629
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Exploring algorithmic fairness in robust graph covering problems. In Advances in Neural Information Processing Systems , Vol. 32. MIT Press, Vancouver, Canada, 15776–15787
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, and Milind Tambe. 2019 · 2019
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Matching queues with reneging: a product form solution
Francisco Castro, Hamid Nazerzadeh, and Chiwei Yan. 2020 · 2020
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AHAR: Part 1—PIT Estimates of Homelessness in the US HUD Exchange
Meghan Henry, Tanya de Sousa, Caroline Roddey, Swati Gayen, Thomas Joe Bednar, and Abt Associates. 2020 · 2020
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Assessment Tools for Prioritizing Housing Resources for Homeless Youth
Eric Rice. 2017 · 2017
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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager and Susan Athey. 2018 · 2017
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Designing fair, efficient, and interpretable policies for prioritizing homeless youth for housing resources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , Vol. 10848 LNCS. Springer, Cham, Delft, The Netherlands, 35–51
Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, and Milind Tambe. 2018 · 2018
Cited alongside, same era.
Optimal Prescriptive Trees
Dimitris Bertsimas, Jack Dunn, and Nishanth Mundru. 2019 · 2018
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Approximating the first-come, first-served stochastic matching model with Ohm’s law
Mohammad M. Fazel-Zarandi and Edward H. Kaplan. 2018 · 2018
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Racial and Ethnic Disparities in the Lifetime Prevalence of Homelessness in the United States
Vincent A. Fusaro, Helen G. Levy, and H. Luke Shaefer. 2018 · 2018
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Machine learning, health disparities, and causal reasoning
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Restoring Affirmatively Furthering Fair Housing Definitions and Certifications
Department of Housing and Urban Development. 2021 · 2021
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An examination of housing interventions among youth experiencing homelessness: an investigation into racial/ethnic and sexual minority status
C Hill, H Hsu, M Holguin, M Morton, H Winetrobe, and E Rice. 2021 · 2021
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Learning Optimal Prescriptive Trees from Observational Data. (2021)
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Fairness-aware Summarization for Justified Decision-Making
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Inequity in the Permanent Supportive Housing System in Los Angeles: Scale, Scope and Reasons for Black Residents’ Returns to Homelessness
Norweeta Milburn, Earl Edwards, Dean Obermark, and Janey Rountree. 2021 · 2021
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Scarce Societal Resource Allocation and the Price of (Local) Justice. In Proceedings of the AAAI Conference on Artificial Intelligence . AAAI Press, Virtual Conference, 5628–5636
Quan Nguyen, Sanmay Das, and Roman Garnett. 2021 · 2021
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Fair Influence Maximization: A Welfare Optimization Approach. In Proceedings of 35th AAAI Conference on Artificial Intelligence . AAAI Press, New York, United States, 11630–11638
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. 2021 · 2021
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On the Optimal Design of a Bipartite Matching Queueing System
Philipp Afèche, René Caldentey, and Varun Gupta. 2021 · 2027
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Irregular Identification, Support Conditions, and Inverse Weight Estimation
Shakeer Khan and Elie Tamer. 2010 · 2042
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