arXiv Machine Learning August 3, 2026 By Sheng Lun Christine Cao, Destenie Nock, Alex Davis

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

Read the original on arXiv Machine Learning →

arXiv:2607. 28854v1 Announce Type: new Abstract: Discrete choice modeling is a common tool used for preference elicitation during policy-making, but this is typically done through parametric models.

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