We consider the problem of clustering in the learning-augmented setting,...
In this work, we study the problem of privately maximizing a submodular
...
A universal 1-bit compressive sensing (CS) scheme consists of a
measurem...
Estimating the quantiles of a large dataset is a fundamental problem in ...
Given a data set of size n in d'-dimensional Euclidean space, the
k-mean...
Graphical model selection in Markov random fields is a fundamental probl...