Author

Stephane Hess

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Preprint Sep 2026

Using machine learning metrics to provide deeper insights into the performance of choice models

This framework identifies where models systematically `confuse'alternatives, highlighting trade-offs between alternatives, and potentially guiding model specification, and potentially guiding model specification.

Lorenzo Muñoz, Stephane Hess, Thomas O. Hancock et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Multitask Reinforcement Learning for Assisting Choice Model Specification

These findings show that accumulating and reusing modelling experience enables Delphos to function as an intelligent assistant for discrete choice model specification, reducing manual trial-and-error while allowing modellers to retain control over model diagnosis, refinement, and final selection.

Gabriel Nova, Stephane Hess, S. van Cranenburgh · 0 citations