95 citations · 271 across the 29 of their papers we have counts for
13 papers · 1 filter
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson
Rideshare and ride-pooling platforms use artificial intelligence-based matching algorithms to pair riders and drivers. However, these platforms can induce inequality either through…
Matching Algorithms for Blood Donation
Duncan C McElfresh, Christian Kroer, Sergey Pupyrev +5
Global demand for donated blood far exceeds supply, and unmet need is greatest in low- and middle-income countries; experts suggest that large-scale coordination is necessary to al…
Indecision Modeling
Duncan C McElfresh, Lok Chan, Kenzie Doyle +4
AI systems are often used to make or contribute to important decisions in a growing range of applications, including criminal justice, hiring, and medicine. Since these decisions i…
Improving Policy-Constrained Kidney Exchange via Pre-Screening
Duncan C McElfresh, Michael Curry, Tuomas Sandholm +1
In barter exchanges, participants swap goods with one another without exchanging money; exchanges are often facilitated by a central clearinghouse, with the goal of maximizing the…
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
Hoda Bidkhori, John P Dickerson, Duncan C McElfresh +1
Motivated by kidney exchange, we study a stochastic cycle and chain packing problem, where we aim to identify structures in a directed graph to maximize the expectation of matched…
Unifying Model Explainability and Robustness via Machine-Checkable Concepts
Vedant Nanda, Till Speicher, John P. Dickerson +2
As deep neural networks (DNNs) get adopted in an ever-increasing number of applications, explainability has emerged as a crucial desideratum for these models. In many real-world ta…