71 citations · 124 across the 11 of their papers we have counts for
13 papers
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde +6
Tabular data is one of the most commonly used types of data in machine learning. Despite recent advances in neural nets (NNs) for tabular data, there is still an active discussion…
On the Generalizability and Predictability of Recommender Systems
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde +2
While other areas of machine learning have seen more and more automation, designing a high-performing recommender system still requires a high level of human effort. Furthermore, r…
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…
Optimal Kidney Exchange with Immunosuppressants
Haris Aziz, Agnes Cseh, John P. Dickerson +1
Algorithms for exchange of kidneys is one of the key successful applications in market design, artificial intelligence, and operations research. Potent immunosuppressant drugs supp…
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…
Robust Active Preference Elicitation
Phebe Vayanos, Yingxiao Ye, Duncan McElfresh +2
We study the problem of eliciting the preferences of a decision-maker through a moderate number of pairwise comparison queries to make them a high quality recommendation for a spec…
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
Lok Chan, Kenzie Doyle, Duncan McElfresh +4
Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of…
Can an Algorithm be My Healthcare Proxy?
Duncan C McElfresh, Samuel Dooley, Yuan Cui +5
Planning for death is not a process in which everyone participates. Yet a lack of planning can have vast impacts on a patient's well-being, the well-being of her family, and the me…
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha, Candice Schumann, Duncan C. McElfresh +3
Bias in machine learning has manifested injustice in several areas, such as medicine, hiring, and criminal justice. In response, computer scientists have developed myriad definitio…
Scalable Robust Kidney Exchange
Duncan C McElfresh, Hoda Bidkhori, John P Dickerson
In barter exchanges, participants directly trade their endowed goods in a constrained economic setting without money. Transactions in barter exchanges are often facilitated via a c…
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange
Duncan C. McElfresh, John P. Dickerson
Balancing fairness and efficiency in resource allocation is a classical economic and computational problem. The price of fairness measures the worst-case loss of economic efficienc…