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Conference Paper

Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time

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Zandieh,  Amir
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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woodruff22a.pdf
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Citation

Woodruff, D., & Zandieh, A. (2022). Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time. In K. Chaudhuri, S. Jegelka, S. Le, S. Csaba, N. Gang, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (pp. 23933-23964). Retrieved from https://proceedings.mlr.press/v162/woodruff22a.html.


Cite as: https://hdl.handle.net/21.11116/0000-000C-9101-E
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