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08/14/2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II
Problem Definition. Increasing costs of healthcare highlight the importa...
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07/18/2023
Mitigating Label Bias via Decoupled Confident Learning
Growing concerns regarding algorithmic fairness have led to a surge in m...
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02/06/2023
Learning Complementary Policies for Human-AI Teams
Human-AI complementarity is important when neither the algorithm nor the...
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10/23/2022
Learning to Advise Humans By Leveraging Algorithm Discretion
Expert decision-makers (DMs) in high-stakes AI-advised (AIDeT) settings ...
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07/22/2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
The extensive adoption of business analytics (BA) has brought financial ...
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07/15/2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
An increased awareness concerning risks of algorithmic bias has driven a...
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10/21/2021
A Machine Learning Framework Towards Transparency in Experts' Decision Quality
Expert workers make non-trivial decisions with significant implications....
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05/24/2021
Cost-Accuracy Aware Adaptive Labeling for Active Learning
Conventional active learning algorithms assume a single labeler that pro...
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05/22/2021
Human-AI Collaboration with Bandit Feedback
Human-machine complementarity is important when neither the algorithm no...
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03/14/2021
Modeling Longitudinal Dynamics of Comorbidities
In medicine, comorbidities refer to the presence of multiple, co-occurri...
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11/17/2020