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Duncan C. McElfresh

4 accepted papers

2023

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

NeurIPS 2023poster

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 whether or not NNs generally outperform gradient-boosted decision trees (GBDTs) on tabular data, with several recent…

2022

On the Generalizability and Predictability of Recommender Systems

NeurIPS 2022accept

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, recent work has shown that modern recommender system algorithms do not always improve over well-tuned baselines. A natura…

2021

Indecision Modeling

AAAI 2021technical

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 impact human lives, it is important that the AI systems act in ways which align with human values. Techniques for prefere…

2021

Optimal Kidney Exchange with Immunosuppressants

AAAI 2021technical

Algorithms for exchange of kidneys is one of the key successful applications in market design, artificial intelligence, and operations research. Potent immunosuppressant drugs suppress the body's ability to reject a transplanted organ up to the point that a transplant across blood- or tissue-type in…

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