18 citations · 60 across the 15 of their papers we have counts for
4 papers · 1 filter
A Higher-Order Kolmogorov-Smirnov Test
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas +1
We present an extension of the Kolmogorov-Smirnov (KS) two-sample test, which can be more sensitive to differences in the tails. Our test statistic is an integral probability metri…
Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain
Yu-Xiang Wang
We revisit the problem of linear regression under a differential privacy constraint. By consolidating existing pieces in the literature, we clarify the correct dependence of the fe…
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
We define On-Average KL-Privacy and present its properties and connections to differential privacy, generalization and information-theoretic quantities including max-information an…
A Minimax Theory for Adaptive Data Analysis
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
In adaptive data analysis, the user makes a sequence of queries on the data, where at each step the choice of query may depend on the results in previous steps. The releases are of…