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01/30/2023
Fairness and Accuracy under Domain Generalization
As machine learning (ML) algorithms are increasingly used in high-stakes...
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06/01/2022
Circular designs for total effects under interference models
This paper studies circular designs for interference models, where a tre...
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10/26/2021
Fair Sequential Selection Using Supervised Learning Models
We consider a selection problem where sequentially arrived applicants ap...
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09/25/2021
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Complication risk profiling is a key challenge in the healthcare domain ...
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12/07/2020
Improving Fairness and Privacy in Selection Problems
Supervised learning models have been increasingly used for making decisi...
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10/21/2020
How Do Fair Decisions Fare in Long-term Qualification?
Although many fairness criteria have been proposed for decision making, ...
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01/14/2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Algorithmic fairness in decision-making has been studied extensively in ...
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10/08/2019
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
Alternating direction method of multiplier (ADMM) is a powerful method t...
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05/02/2019
Long term impact of fair machine learning in sequential decision making: representation disparity and group retention
Machine learning models trained on data from multiple demographic groups...
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10/07/2018
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
Alternating direction method of multiplier (ADMM) is a powerful method t...
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06/06/2018