32 citations · 63 across the 14 of their papers we have counts for
4 papers · 1 filter
The Power of Uniform Sampling for Coresets
Vladimir Braverman, Vincent Cohen-Addad, Shaofeng H. -C. Jiang +4
Motivated by practical generalizations of the classic -median and -means objectives, such as clustering with size constraints, fair clustering, and Wasserstein barycenter, we…
Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median
Vincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee +1
The Uncapacitated Facility Location (UFL) problem is one of the most fundamental clustering problems: Given a set of clients and a set of facilities in a metric space $(C \…
Scalable Differentially Private Clustering via Hierarchically Separated Trees
Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi +5
We study the private -median and -means clustering problem in dimensional Euclidean space. By leveraging tree embeddings, we give an efficient and easy to implement algor…
Towards Optimal Lower Bounds for k-median and k-means Coresets
Vincent Cohen-Addad, Kasper Green Larsen, David Saulpic +1
Given a set of points in a metric space, the -clustering problem consists of finding a set of points called centers, such that the sum of distances raised to the power o…