2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Differentially Private Approximate Quantiles
Haim Kaplan, Shachar Schnapp, Uri Stemmer
In this work we study the problem of differentially private (DP) quantiles, in which given dataset and quantiles , we want to output quantile estim…
cs.LG2020
Active Feature Selection for the Mutual Information Criterion
Shachar Schnapp, Sivan Sabato
We study active feature selection, a novel feature selection setting in which unlabeled data is available, but the budget for labels is limited, and the examples to label can be ac…