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John Svadlenka

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2020 – today

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2020
[b1]
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John Svadlenka:
Novel Fast Algorithms For Low Rank Matrix Approximation. City University of New York, USA, 2020

2010 – 2019

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2019
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  - conf/macis/PanLSZ19
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Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
Sublinear Cost Low Rank Approximation via Subspace Sampling. MACIS 2019: 89-104
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  - journals/corr/abs-1906-04112
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Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
CUR Low Rank Approximation of a Matrix at Sub-linear Cost. CoRR abs/1906.04112 (2019)
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Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling. CoRR abs/1906.04327 (2019)
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  - journals/corr/abs-1906-04929
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Victor Y. Pan, Qi Luan, John Svadlenka:
Low Rank Approximation Directed by Leverage Scores and Computed at Sub-linear Cost. CoRR abs/1906.04929 (2019)
2013
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John Loustau, Scott Irwin, Ariel Lindorff, John Svadlenka:
Discontinuous piecewise polynomial collocation in two dimensions. Risk Decis. Anal. 4(1): 47-57 (2013)

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