45 citations · 115 across the 24 of their papers we have counts for
3 papers · 1 filter
Differentially Private Sampling from Distributions
Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith +1
We initiate an investigation of private sampling from distributions. Given a dataset with independent observations from an unknown distribution , a sampling algorithm must o…
Learning pseudo-Boolean k-DNF and Submodular Functions
Sofya Raskhodnikova, Grigory Yaroslavtsev
We prove that any submodular function f: {0,1}^n -> {0,1,...,k} can be represented as a pseudo-Boolean 2k-DNF formula. Pseudo-Boolean DNFs are a natural generalization of DNF repre…
What Can We Learn Privately?
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim +2
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept c…