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Streaming Complexity of SVMs

Jul 07, 2020
Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff

* APPROX 2020 

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Non-Adaptive Adaptive Sampling on Turnstile Streams

Apr 23, 2020
Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou

* To appear at STOC 2020 

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(Individual) Fairness for $k$-Clustering

Feb 17, 2020
Sepideh Mahabadi, Ali Vakilian


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Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm

Jul 06, 2019
Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei

* This paper has appeared in the 36th International Conference on Machine Learning (ICML), 2019. This is an equal contribution paper 

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Near Neighbor: Who is the Fairest of Them All?

Jun 06, 2019
Sariel Har-Peled, Sepideh Mahabadi


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Nonlinear Dimension Reduction via Outer Bi-Lipschitz Extensions

Nov 08, 2018
Sepideh Mahabadi, Konstantin Makarychev, Yury Makarychev, Ilya Razenshteyn

* 27 pages, 6 figures; an extended abstract appeared in the proceedings of STOC 2018 

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Composable Core-sets for Determinant Maximization Problems via Spectral Spanners

Jul 31, 2018
Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei


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