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20172023
most citedWasserstein-based fairness interpretability framework for machine learning models

12 citations · 24 across the 6 of their papers we have counts for

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math.ST2017

Asymptotic properties and approximation of Bayesian logspline density estimators for communication-free parallel computing methods

Konstandinos Kotsiopoulos, Alexey Miroshnikov, Erin Conlon

In this article we perform an asymptotic analysis of parallel Bayesian logspline density estimators. Such estimators are useful for the analysis of datasets that are partitioned in…