2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2023★ 2 cited
Taking Advice from ChatGPT
Peter Zhang
A growing literature studies how humans incorporate advice from algorithms. This study examines an algorithm with millions of daily users: ChatGPT. In a preregistered study, 118 st…
math.OC2022
A Mathematical Programming Approach to Optimal Classification Forests
Víctor Blanco, Alberto Japón, Justo Puerto +1
This paper introduces Weighted Optimal Classification Forests (WOCFs), a new family of classifiers that takes advantage of an optimal ensemble of decision trees to derive accurate…
cs.LG2021★ 1 cited
Model Mis-specification and Algorithmic Bias
Runshan Fu, Yangfan Liang, Peter Zhang
Machine learning algorithms are increasingly used to inform critical decisions. There is a growing concern about bias, that algorithms may produce uneven outcomes for individuals i…