Graphs are a representation of structured data that captures the
relatio...
In fully dynamic clustering problems, a clustering of a given data set i...
Estimating the number of subgraphs in data streams is a fundamental prob...
We study fine-grained error bounds for differentially private algorithms...
Clustering is an important task with applications in many fields of comp...
Differentially private algorithms protect individuals in data analysis
s...
Given a stream of points in a metric space, is it possible to maintain a...
We present a simple sublinear-time algorithm for sampling an arbitrary
s...
We present a novel framework closely linking the areas of property testi...
In hedonic games, players form coalitions based on individual preference...
One of the most fundamental questions in graph property testing is to
ch...
In the k-nearest neighborhood model (k-NN), we are given a set of points...