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05/24/2023
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Streaming submodular maximization is a natural model for the task of sel...
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04/21/2022
Motif Cut Sparsifiers
A motif is a frequently occurring subgraph of a given directed or undire...
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12/01/2021
Efficient and Local Parallel Random Walks
Random walks are a fundamental primitive used in many machine learning a...
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07/06/2021
Noisy Boolean Hidden Matching with Applications
The Boolean Hidden Matching (BHM) problem, introduced in a seminal paper...
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06/09/2021
Streaming Belief Propagation for Community Detection
The community detection problem requires to cluster the nodes of a netwo...
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06/04/2021
Spectral Hypergraph Sparsifiers of Nearly Linear Size
Graph sparsification has been studied extensively over the past two deca...
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11/12/2020
Towards Tight Bounds for Spectral Sparsification of Hypergraphs
Cut and spectral sparsification of graphs have numerous applications, in...
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11/12/2020
Communication Efficient Coresets for Maximum Matching
In this paper we revisit the problem of constructing randomized composab...
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10/14/2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Submodular maximization has become established as the method of choice f...
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07/12/2019
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples
Given a source of iid samples of edges of an input graph G with n vertic...
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03/28/2019