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Aida Mousavifar
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Beyond 1/2-approximation for submodular maximization on massive data streams
A Norouzi-Fard, J Tarnawski, S Mitrovic, A Zandieh, A Mousavifar, ...
International Conference on Machine Learning, 3829-3838, 2018
982018
Testing graph clusterability: Algorithms and lower bounds
A Chiplunkar, M Kapralov, S Khanna, A Mousavifar, Y Peres
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
302018
Fast and space efficient spectral sparsification in dynamic streams
M Kapralov, A Mousavifar, C Musco, C Musco, N Nouri, A Sidford, ...
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
262020
Spectral clustering oracles in sublinear time
G Gluch, M Kapralov, S Lattanzi, A Mousavifar, C Sohler
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021
132021
A Model for Information Networks: Efficiency, Stability and Dynamics
LE Celis, AS Mousavifar
arXiv preprint arXiv:1705.03055, 2017
6*2017
Faster spectral sparsification in dynamic streams
M Kapralov, A Mousavifar, C Musco, C Musco, N Nouri
arXiv preprint arXiv:1903.12165, 2019
52019
Learning hierarchical structure of clusterable graphs
M Kapralov, A Kumar, S Lattanzi, A Mousavifar
arXiv preprint arXiv:2207.02581, 2022
42022
Learning hierarchical cluster structure of graphs in sublinear time
M Kapralov, A Kumar, S Lattanzi, A Mousavifar
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
22023
Sublinear Algorithms for Spectral Graph Clustering
A Mousavifar
EPFL, 2021
2021
THL4
AH Chiplunkar, M Elias, GA Gluch, M Kapralov, A Kumar, M Makarov, ...
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