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Tensor Random Projection for Low Memory Dimension Reduction., , , and . CoRR, (2021)Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations., , , and . CoRR, (2022)XTrace: Making the most of every sample in stochastic trace estimation., , and . CoRR, (2023)An Introduction to Matrix Concentration Inequalities. (2015)cite arxiv:1501.01571Comment: 163 pages. To appear in Foundations and Trends in Machine Learning.Simultaneous sparse approximation via greedy pursuit., , and . ICASSP (5), page 721-724. IEEE, (2005)Designing structured tight frames via an alternating projection method., , , and . IEEE Trans. Inf. Theory, 51 (1): 188-209 (2005)Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions, , and . arXiv.org > math > arXiv:0909.4061, (2009)cite arxiv:0909.4061.Algorithmic linear dimension reduction in the l_1 norm for sparse vectors, , , and . CoRR, (2006)Low-Rank Tucker Approximation of a Tensor From Streaming Data., , , , and . CoRR, (2019)Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals, , , , and . Information Theory, IEEE Transactions on, 56 (1): 520-544 (2010)