Optimal Embedding Dimension for Sparse Subspace Embeddings
Author:
Affiliation:
1. University of Michigan, Ann Arbor, USA
Funder
Division of Mathematical Sciences
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3618260.3649762
Reference40 articles.
1. SIAM Journal on computing, 39, 1;Ailon Nir,2009
2. Afonso S Bandeira March T Boedihardjo and Ramon van Handel. 2023. Matrix concentration inequalities and free probability. Inventiones mathematicae 1–69.
3. Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space
4. Tatiana Brailovskaya and Ramon van Handel. 2022. Universality and sharp matrix concentration inequalities. arXiv preprint arXiv:2201.05142.
5. Coralia Cartis Jan Fiala and Zhen Shao. 2021. Hashing embeddings of optimal dimension with applications to linear least squares. arXiv preprint arXiv:2105.11815.
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