activity
20152022
most citedBeyond -Approximation for Submodular Maximization on Massive Data Streams

42 citations · 50 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DS2022

Approximating Dasgupta Cost in Sublinear Time from a Few Random Seeds

Michael Kapralov, Akash Kumar, Silvio Lattanzi +2

Testing graph cluster structure has been a central object of study in property testing since the foundational work of Goldreich and Ron [STOC'96] on expansion testing, i.e. the pro…

cs.DS2021

Spectral Clustering Oracles in Sublinear Time

Grzegorz Gluch, Michael Kapralov, Silvio Lattanzi +2

Given a graph that can be partitioned into disjoint expanders with outer conductance upper bounded by , can we efficiently construct a small space data structure th…

cs.DS2019★ 4 cited

Faster Spectral Sparsification in Dynamic Streams

Michael Kapralov, Aida Mousavifar, Cameron Musco +2

Graph sketching has emerged as a powerful technique for processing massive graphs that change over time (i.e., are presented as a dynamic stream of edge updates) over the past few…

cs.DS2018★ 3 cited

Testing Graph Clusterability: Algorithms and Lower Bounds

Ashish Chiplunkar, Michael Kapralov, Sanjeev Khanna +2

We consider the problem of testing graph cluster structure: given access to a graph , can we quickly determine whether the graph can be partitioned into a few clusters wi…

cs.LG2018★ 42 cited

Beyond -Approximation for Submodular Maximization on Massive Data Streams

Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrović +3

Many tasks in machine learning and data mining, such as data diversification, non-parametric learning, kernel machines, clustering etc., require extracting a small but representati…

cs.GT2017

A Model for Information Networks: Efficiency, Stability and Dynamics

L. Elisa Celis, Aida S. Mousavifar

We introduce a simple network model that is inspired by social information networks such as twitter. Agents are nodes, connecting to another agent by building a directed edge has a…

cs.SI2015★ 1 cited

A Model for Social Network Formation: Efficiency, Stability and Dynamics

L. Elisa Celis, Aida Sadat Mousavifar

We introduce a simple network formation model for social networks. Agents are nodes, connecting to another agent by building a directed edge (or accepting a connection from another…