5 citations · 5 across the 2 of their papers we have counts for
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stat.ML2021
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures
Raphael Sonabend, Andreas Bender, Sebastian Vollmer
In this paper we consider how to evaluate survival distribution predictions with measures of discrimination. This is a non-trivial problem as discrimination measures are the most c…
stat.ML2021★ 5 cited
Mitigating Statistical Bias within Differentially Private Synthetic Data
Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson +3
Increasing interest in privacy-preserving machine learning has led to new and evolved approaches for generating private synthetic data from undisclosed real data. However, mechanis…