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stat.ML2024
A density ratio framework for evaluating the utility of synthetic data
Thom Benjamin Volker, Peter-Paul de Wolf, Erik-Jan van Kesteren
Synthetic data generation is a promising technique to facilitate the use of sensitive data while mitigating the risk of privacy breaches. However, for synthetic data to be useful i…
stat.ML2020★ 1 cited
Fair inference on error-prone outcomes
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri +1
Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting gr…