On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty

DOI10.1007/s10472-022-09807-0OpenAlexW4285591748MaRDI QIDQ6113067

Andrea Ponti, I. Giordani, A. Candelieri, Francesco Archetti

Publication date: 10 July 2023

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-022-09807-0

zbMATH Keywords

clusteringactive learningWasserstein distanceuncertainty quantificationbarycentersexploration-exploitation dilemmaPareto analysishuman learning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

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