activity
20152022
most citedScalable Fair Clustering

58 citations · 82 across the 8 of their papers we have counts for

collaborators
Showing cs.DSShow all

9 papers · 1 filter

cs.DS20221 cited

Triangle and Four Cycle Counting with Predictions in Graph Streams

Justin Y. Chen, Talya Eden, Piotr Indyk +7

We propose data-driven one-pass streaming algorithms for estimating the number of triangles and four cycles, two fundamental problems in graph analytics that are widely studied in…

cs.DS2021

Faster Kernel Matrix Algebra via Density Estimation

Arturs Backurs, Piotr Indyk, Cameron Musco +1

We study fast algorithms for computing fundamental properties of a positive semidefinite kernel matrix corresponding to points $x_1,\ldots,x_n \…

cs.DS2019

Scalable Nearest Neighbor Search for Optimal Transport

Arturs Backurs, Yihe Dong, Piotr Indyk +2

The Optimal Transport (a.k.a. Wasserstein) distance is an increasingly popular similarity measure for rich data domains, such as images or text documents. This raises the necessity…

cs.DS201911 cited

Sample-Optimal Low-Rank Approximation of Distance Matrices

Piotr Indyk, Ali Vakilian, Tal Wagner +1

A distance matrix represents all pairwise distances, , between two point sets and in an arbit…

cs.DS201958 cited

Scalable Fair Clustering

Arturs Backurs, Piotr Indyk, Krzysztof Onak +3

We study the fair variant of the classic -median problem introduced by Chierichetti et al. [2017]. In the standard -median problem, given an input pointset , the goal is t…

cs.DS2018

Multitasking Capacity: Hardness Results and Improved Constructions

Noga Alon, Jonathan D. Cohen, Thomas L. Griffiths +5

We consider the problem of determining the maximal such that every matching of size (or at most ) in a bipartite graph contains an induced matching of s…